22.1.1.1 Land Cover, Land Use, General Problems, Remote Sensing

Haralick, R.M.[Robert M.], Hlavka, C.A., Yokoyama, R., Carlyle, S.M.,
Spectral-Temporal Classification Using Vegetation Phenology,
GeoRS(18), No. 2, April, 1980, pp. 167-174. BibRef 8004

Ince, F.[Fuat],
The application of the coalescence clustering algorithm to remotely sensed multispectral data,
PR(14), No. 1-6, 1981, pp. 121-126.
WWW Version. 0309
BibRef

Sawada, N.[Nobuo], Numagami, H.[Hideo], Shinoda, H.[Hidenori], Kidode, M.[Masatsugu], Watanabe, S.[Sadakazu],
Application of a parallel pattern processor to remote sensing,
PR(14), No. 1-6, 1981, pp. 331-343.
WWW Version. 0309
BibRef

Wharton, S.W.,
A Contextual Classification Method for Recognizing Land Use Patterns in High Resolution Remotely Sensed Data,
PR(15), No. 4, 1982, pp. 317-324.
WWW Version. BibRef 8200

Shoshany, M., Kutiel, P., Lavee, H., Eichler, M.,
Remote-Sensing of Vegetation Cover Along A Climatological Gradient,
PandRS(49), No. 4, August 1994, pp. 2-10. BibRef 9408

Skirvin, S.M., Dryden, G.,
Classification of LANDSAT Thematic Mapper Image Data, Chiricahua National Monument, Arizona,
AIApp(11), No. 3, 1997, pp. 90-98. 9802
BibRef

Lobo, A.,
Image Segmentation and Discriminant-Analysis for the Identification of Land-Cover Units in Ecology,
GeoRS(35), No. 5, September 1997, pp. 1136-1145.
IEEE Top Reference. 9710
BibRef

Bischof, H.[Horst], Schneider, W.[Werner], Pinz, A.[Axel],
Multispectral Classification of Landsat Images Using Neural Networks,
GeoRS(30), No. 3, 1992, pp. 482-490. BibRef 9200

Bischof, H.[Horst], Leonardis, A.[Ales],
Finding Optimal Neural Networks for Land Use Classification,
GeoRS(36), No. 1, 1998, pp. 337-341. BibRef 9800

Stoms, D.M., Bueno, M.J., Davis, F.W., Cassidy, K.M., Driese, K.L., Kagan, J.S.,
Map Guided Classification of Regional Land Cover with Multitemporal AVHRR Data,
PhEngRS(64), No. 8, August 1998, pp. 831-838. 9808
BibRef

Kavzoglu, T., Mather, P.M.,
Pruning artificial neural networks: an example using land cover classification of multi-sensor images,
JRS(20), No. 14, September 1999, pp. 2787. BibRef 9909

Kavzoglu, T., Mather, P.M.,
The role of feature selection in artificial neural network applications,
JRS(23), No. 15, August 2002, pp. 2919-2937. 0211
BibRef

Defries, R.S., Chan, J.C.W.[Jonathan Cheung-Wai],
Multiple Criteria for Evaluating Machine Learning Algorithms for Land Cover Classification from Satellite Data,
RSE(74), No. 3, 2000, pp. 503-515. 0102
BibRef

Steele, B.M.[Brian M.],
Combining Multiple Classifiers. An Application Using Spatial and Remotely Sensed Information for Land Cover Type Mapping,
RSE(74), No. 3, 2000, pp. 545- 556. 0102
BibRef

Ji, C.Y.,
Land-Use Classification of Remotely Sensed Data Using Kohonen Self-Organizing Feature Map Neural Networks,
PhEngRS(66), No. 12, December 2000, pp. 1451-1460. Results are compared to those of the maximum-likelihood method and of the BP neural networks. 0101
BibRef

Webb, E.L.[Edward L.], Evangelista, M.A.[Ma. Arlene], Robinson, J.A.[Julie A.],
Digital Land-Use Classification Using Space-Shuttle-Acquired Orbital Photographs: A Quantitative Comparison with Landsat TM Imagery of a Coastal Environment, Chanthaburi, Thailand,
PhEngRS(66), No. 12, December 2000, pp. 1439-1450. 0101
Evaluation, Classifiers. BibRef

Liu, X.H.[Xue-Hua], Skidmore, A.K., van Oosten, H.,
Integration of classification methods for improvement of land-cover map accuracy,
PandRS(56), No. 4, July 2002, pp. 257-268.
HTML Version. 0207
BibRef

Debeir, O.[Olivier], van den Steen, I.[Isabelle], Latinne, P.[Patrice], van Ham, P.[Philippe], Wolff, E.[Eléonore],
Textural and Contextual Land-Cover Classification Using Single and Multiple Classifier Systems,
PhEngRS(68), No. 6, June 2002, pp. 597.
WWW Version. 0207
Improve the accuracy of land-cover clasification with textural, contextual, and multiple classifier system. BibRef

Hlavka, C.A., Dungan, J.L.,
Areal Estimates of Fragmented Land Cover: Effects of Pixel Size and Model-Based Corrections,
JRS(23), No. 4, February 2002, pp. 711-724. 0202
BibRef

King, R.B.,
Land cover mapping principles: a return to interpretation fundamentals,
JRS(23), No. 18, September 2002, pp. 3525-3545.
WWW Version. 0211
BibRef

Huang, C., Davis, L.S., Townshend, J.R.G.,
An assessment of support vector machines for land cover classification,
JRS(23), No. 4, February 2002, pp. 725-749. 0202
BibRef

Shao, G.[Guofan], We, W.[Wenchun], Wu, G.[Gang], Zhou, X.H.[Xin-Hua], Wu, J.G.[Jian-Guo],
An Explicit Index for Assessing the Accuracy of Cover-Class Areas,
PhEngRS(69), No. 8, August 2003, pp. 907-914.
WWW Version. 0401
The accuracy of cover class areas is not strongly related to conventional classification accuracy assessment indices, but can be assessed with a new index called Relative Errors of Area (REA). BibRef

Özkan, C.[Coskun], Erbek, F.S.[Filiz Sunar],
A Comparison of Activation Functions for Multispectral Landsat TM Image Classification,
PhEngRS(69), No. 11, November 2003, pp. 1225-1234.
WWW Version. 0401
Compare linear, sigmoid, and tangent hyperbolic activation functions through the one- and two-hidden layered MLP neural network structures trained with the scaled conjugate gradient learning algorithm, and evaluate their perfornances for a multispectral Landsat TM imagery hard classification problem. BibRef

Wade, T.G.[Timothy G.], Wickham, J.D.[James D.], Nash, M.S.[Maliha S.], Neale, A.C.[Anne C.], Riitters, K.H.[Kurt H.], Jones, K.B.[K. Bruce],
A Comparison of Vector and Raster GIS Methods for Calculating Landscape Metrics Used in Environmental Assessments,
PhEngRS(69), No. 12, December 2003, pp. 1399-1405.
WWW Version. 0401
A statistical analysis of the potential impact of processing methodology on environmental assessment results is presented. BibRef

Kempeneers, P., de Backer, S., Debruyn, W., Coppin, P., Scheunders, P.,
Generic Wavelet-Based Hyperspectral Classification Applied to Vegetation Stress Detection,
GeoRS(43), No. 3, March 2005, pp. 610-614.
IEEE Abstract. 0501
BibRef

de Backer, S.[Steve], Kempeneers, P.[Pieter], Debruyn, W.[Walter], Scheunders, P.[Paul],
Classification of Dune Vegetation from Remotely Sensed Hyperspectral Images,
ICIAR04(II: 497-503).
WWW Version. 0409
BibRef

Li, X.[Xia],
A Four-Component Efficiency Index for Assessing Land Development Using Remote Sensing and GIS,
PhEngRS(71), No. 1, January 2005, pp. 47-58.
WWW Version. 0509
This paper derives the indicators of quantity, quality, location, and morphology to access land development based on the integration of remote sensing and GIS. BibRef

Tran, L.T.[Liem T.], Wickham, J.D.[James D.], Jarnagin, S.T.[S. Taylor], Knight, C.G.[C. Gregory],
Mapping Spatial Thematic Accuracy with Fuzzy Sets,
PhEngRS(71), No. 1, January 2005, pp. 29-36.
WWW Version. 0509
BibRef

Pearlstine, L.[Leonard], Portier, K.M.[Kenneth M.], Smith, S.E.[Scot E.],
Textural Discrimination of an Invasive Plant, Schinus terebinthifolius, from Low Altitude Aerial Digital Imagery,
PhEngRS(71), No. 3, March 2005, pp. 289-298.
WWW Version. 0509
Texture features derived from first and second order statistics and edge components in high-resolution digital color infrared images were tested for their ability to discriminate Schinus terebinthifolius in multiple linear logistic regressions. BibRef

Sohn, Y.S.[Young-Sinn], Qi, J.G.[Jia-Guo],
Mapping Detailed Biotic Communities in the Upper San Pedro Valley of Southeastern Arizona using Landsat 7 ETM+ Data and Supervised Spectral Angle Classifier,
PhEngRS(71), No. 6, June 2005, pp. 709-718.
WWW Version. 0509
Detailed biotic communities were mapped with high accuracy using the Supervised Spectral Angle Classifier and Landsat-7 EMT+ imagery. BibRef

Li, X.Z.[Xiu-Zhen], He, H.S.[Hong S.], Bu, R.[Rencang], Wen, Q.C.[Qing-Chun], Chang, Y.[Yu], Hu, Y.M.[Yuan-Man], Li, Y.H.[Yue-Hui],
The adequacy of different landscape metrics for various landscape patterns,
PR(38), No. 12, December 2005, pp. 2626-2638.
WWW Version. 0510
BibRef

Chen, L.[Li],
Nested Hyper-Rectangle Learning Model for Remote Sensing: Land Cover Classification,
PhEngRS(71), No. 3, March 2005, pp. 333. The NHLM learning model is presented and tested with SPOT data to illustrate an efficient and accurate supervised classification method.
WWW Version. 0509
BibRef

Sun, W., Cetin, M., Thacker, W.C., Chin, T.M., Willsky, A.S.,
Variational Approaches on Discontinuity Localization and Field Estimation in Sea Surface Temperature and Soil Moisture,
GeoRS(44), No. 2, February 2006, pp. 336-350.
IEEE DOI Link 0602
BibRef

Fieguth, P.W., Willsky, A.S., Menemenlis, D., Wunsch, C.I.,
A general multiresolution approach to the estimation of dense fields in remote sensing,
ICIP96(II: 609-612).
IEEE DOI Link 9610
BibRef

Herold, M., Woodcock, C., di Gregorio, A., Mayaux, P., Belward, A.S., Latham, J., Schmullius, C.C.,
A Joint Initiative for Harmonization and Validation of Land Cover Datasets,
GeoRS(44), No. 7, Part 1, July 2006, pp. 1719-1727.
IEEE DOI Link 0606
BibRef

Mayaux, P., Eva, H., Gallego, J., Strahler, A.H., Herold, M., Agrawal, S., Naumov, S., DeMiranda, E.E., DiBella, C.M., Ordoyne, C., Kopin, I., Roy, P.S.,
Validation of the Global Land Cover 2000 Map,
GeoRS(44), No. 7, Part 1, July 2006, pp. 1728-1739.
IEEE DOI Link 0606
BibRef

Abuelgasim, A.A., Fernandes, R.A., Leblanc, S.G.,
Evaluation of National and Global LAI Products Derived From Optical Remote Sensing Instruments Over Canada,
GeoRS(44), No. 7, Part 1, July 2006, pp. 1872-1884. Leaf Area Index
IEEE DOI Link 0606
BibRef

Deng, F., Chen, J.M., Plummer, S., Chen, M., Pisek, J.,
Algorithm for Global Leaf Area Index Retrieval Using Satellite Imagery,
GeoRS(44), No. 8, August 2006, pp. 2219-2229.
IEEE DOI Link 0608
BibRef

Chen, J.M., Deng, F., Chen, M.,
Locally Adjusted Cubic-Spline Capping for Reconstructing Seasonal Trajectories of a Satellite-Derived Surface Parameter,
GeoRS(44), No. 8, August 2006, pp. 2230-2238.
IEEE DOI Link 0608
BibRef

Lathrop, R.G.[Richard G.], Montesano, P.[Paul], Haag, S.[Scott],
A Multi-scale Segmentation Approach to Mapping Seagrass Habitats Using Airborne Digital Camera Imagery,
PhEngRS(72), No. 6, June 2006, pp. 665-676.
WWW Version. 0610
BibRef

Yu, Q.[Qian], Gong, P.[Peng], Clinton, N.[Nick], Biging, G.[Greg], Kelly, M.[Maggi], Schirokauer, D.[Dave],
Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery,
PhEngRS(72), No. 7, July 2006, pp. 799-812.
WWW Version. 0610
Object-based classification applied in vegetation mapping at alliance level with 1-meter resolution airborne imagery compared with conventional pixel-based classification. BibRef

Keramitsoglou, I.[Iphigenia], Sarimveis, H.[Haralambos], Kiranoudis, C.T.[Chris T.], Kontoes, C.[Charalambos], Sifakis, N.[Nicolaos], Fitoka, E.[Eleni],
The performance of pixel window algorithms in the classification of habitats using VHSR imagery,
PandRS(60), No. 4, June 2006, pp. 225-238.
WWW Version. 0610
habitat classification; RBF neural networks; kernel based re-classification; support vector machines; EUNIS BibRef

Aitkenhead, M.J., Dyer, R.,
Improving Land-cover Classification Using Recognition Threshold Neural Networks,
PhEngRS(73), No. 4, April 2007, pp. 413-421.
WWW Version. 0704
Improving land-cover classification from remote sensing imagery with neural networks using a threshold of recognition below which the recognition system applies additional bootstrapped information to classify pixels. BibRef

Sanchez-Hernandez, C.[Carolina], Boyd, D.S.[Doreen S.], Foody, G.M.[Giles M.],
One-Class Classification for Mapping a Specific Land-Cover Class: SVDD Classification of Fenland,
GeoRS(45), No. 4, April 2007, pp. 1061-1073.
IEEE DOI Link 0704
BibRef

Muad, A.M., Foody, G.M.,
Super-Resolution Mapping of Landscape Objects from Coarse Spatial Resolution Imagery,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Saura, S.[Santiago], Castro, S.[Sandra],
Scaling functions for landscape pattern metrics derived from remotely sensed data: Are their subpixel estimates really accurate?,
PandRS(62), No. 3, August 2007, pp. 201-216.
WWW Version. 0709
Scale; Landscape pattern; Sensor spatial resolution; Spatial metrics; Landscape ecology; Land cover analysis BibRef

Makido, Y.[Yasuyo], Shortridge, A.[Ashton],
Weighting Function Alternatives for a Subpixel Allocation Model,
PhEngRS(73), No. 11, November 2007, pp. 1233-1240.
WWW Version. 0709
Properties of a pixel-swapping optimization algorithm for predicting subpixel land-cover distribution are investigated, and improvements to it are evaluated. BibRef

Makido, Y.[Yasuyo], Shortridge, A.[Ashton], Messina, J.P.[Joseph P.],
Assessing Alternatives for Modeling the Spatial Distribution of Multiple Land-cover Classes at Sub-pixel Scales,
PhEngRS(73), No. 8, August 2007, pp. 935-944.
WWW Version. 0709
Evaluating three methods for modeling the spatial distribution of multiple land cover classes at sub-pixel scales. BibRef

Budreski, K.A.[Katherine A.], Wynne, R.H.[Randolph H.], Browder, J.O.[John O.], Campbell, J.B.[James B.],
Comparison of Segment and Pixel-based Non-parametric Land Cover Classification in the Brazilian Amazon Using Multi-temporal Landsat TM/ETM+ Imagery,
PhEngRS(73), No. 7, July 2007, pp. 813-828.
WWW Version. 0709
Accurate land-cover maps were produced using inter-annual, multi-temporal Landsat TM/EMT+ imagery and pixel-based kNN and CART®; segmentation proved unnecessary. BibRef

Addink, E.A.[Elisabeth A.], de Jong, S.M.[Steven M.], Pebesma, E.J.[Edzer J.],
The Importance of Scale in Object-based Mapping of Vegetation Parameters with Hyperspectral Imagery,
PhEngRS(73), No. 8, August 2007, pp. 905-912.
WWW Version. 0709
An investigation of optimal object definition for prediction of biomass and leaf area index. BibRef

Mahtab, A., Sridhar, V.N., Navalgund, R.R.,
Impact of Surface Anisotropy on Classification Accuracy of Selected Vegetation Classes: An Evaluation Using Multidate Multiangular MISR Data Over Parts of Madhya Pradesh, India,
GeoRS(46), No. 1, January 2008, pp. 250-258.
IEEE DOI Link 0712
BibRef

Bagan, H.[Hasi], Wang, Q.X.[Qin-Xue], Watanabe, M.[Masataka], Kameyama, S.[Satoshi], Bao, Y.H.[Yu-Hai],
Land-cover Classification Using ASTER Multi-band Combinations Based on Wavelet Fusion and SOM Neural Network,
PhEngRS(74), No. 3, March 2008, pp. 333-342.
WWW Version. 0803
A land-cover classification methodology using ASTER VNIR, SWIR, and TIR band combinations based on wavelet fusion and SOM neural network methods, and classification accuracy of different band combinations. BibRef

Chastain Jr., R.A.[Robert A.], Struckhoff, M.A.[Matthew A.], He, H.[Hong], Larsen, D.R.[David R.],
Mapping Vegetation Communities Using Statistical Data Fusion in the Ozark National Scenic Riverways, Missouri, USA,
PhEngRS(74), No. 2, February 2008, pp. 247-264.
WWW Version. 0803
A vegetation community map was produced for the Ozark National Scenic Riverways using a discriminant analysis statistical approach combined with photointerpretation to exploit a large set of input variables obtained from remote sensing and topographic data. BibRef

Trias-Sanz, R.[Roger], Stamon, G.[Georges], Louchet, J.[Jean],
Using colour, texture, and hierarchial segmentation for high-resolution remote sensing,
PandRS(63), No. 2, March 2008, pp. 156-168.
WWW Version. 0803
Segmentation; Hierarchical; Colour; Cartography; Land cover BibRef

Tseng, M.H.[Ming-Hseng], Chen, S.J.[Sheng-Jhe], Hwang, G.H.[Gwo-Haur], Shen, M.Y.[Ming-Yu],
A genetic algorithm rule-based approach for land-cover classification,
PandRS(63), No. 2, March 2008, pp. 202-212.
WWW Version. 0803
Classification; Land-cover; Rule-based; Genetic algorithm; Knowledge rules BibRef

Chen, D.M.[Dong-Mei],
A Standardized Probability Comparison Approach for Evaluating and Combining Pixel-based Classification Procedures,
PhEngRS(74), No. 5, May 2008, pp. 601-610.
WWW Version. 0804
An objective approach to evaluate pixel labeling confidence in a classification and to combine classified maps generated from different classification procedures. BibRef

Mitrakis, N.E., Topaloglou, C.A., Alexandridis, T.K., Theocharis, J.B., Zalidis, G.C.,
Decision Fusion of GA Self-Organizing Neuro-Fuzzy Multilayered Classifiers for Land Cover Classification Using Textural and Spectral Features,
GeoRS(46), No. 7, July 2008, pp. 2137-2152.
IEEE DOI Link 0806
BibRef

Yu, Q.[Qian], Gong, P.[Peng], Tian, Y.Q.[Yong Q.], Pu, R.L.[Rui-Liang], Yang, J.[Jun],
Factors Affecting Spatial Variation of Classification Uncertainty in an Image Object-based Vegetation Mapping,
PhEngRS(74), No. 8, August 2008, pp. 1007-1018.
WWW Version. 0804
A mixed linear model to examine the effect of six categories of factors on classification uncertainty in an object-based vegetation mapping, including general membership, topography, sample object density, spatial composition, sample object reliability and object features. BibRef

Aitkenhead, M.J., Flaherty, S., Cutler, M.E.J.,
Evaluating Neural Networks and Evidence Pooling for Land Cover Mapping,
PhEngRS(74), No. 8, August 2008, pp. 1019-1032.
WWW Version. 0804
Integrating evidence from a range of data sources was to produce land cover mapping based on neural networks trained to identify specific land cover classes. BibRef

Smikrud, K.M.[Kathy M.], Prakash, A.[Anupma], Nichols, J.V.[Jeff V.],
Decision-based Fusion for Improved Fluvial Landscape Classification Using Digital Aerial Photographs and Forward Looking Infrared Images,
PhEngRS(74), No. 7, July 2008, pp. 903-912.
WWW Version. 0804
Comparing different image processing routines to classify macro fish habitat indicators in a large river floodplain using digital aerial photographs and forward looking infrared images leading to a decision-based fusion strategy to provide the best results. BibRef

Duca, R., Del Frate, F.,
Hyperspectral and Multiangle CHRIS-PROBA Images for the Generation of Land Cover Maps,
GeoRS(46), No. 10, October 2008, pp. 2857-2866.
IEEE DOI Link 0810
BibRef

Freitas, C.C., Soler, L.S., Sant'Anna, S.J.S., Dutra, L.V., dos Santos, J.R., Mura, J.C., Correia, A.H.,
Land Use and Land Cover Mapping in the Brazilian Amazon Using Polarimetric Airborne P-Band SAR Data,
GeoRS(46), No. 10, October 2008, pp. 2956-2970.
IEEE DOI Link 0810
BibRef

Stehman, S.V.[Stephen V.], Wickham, J.D.[James D.], Wade, T.G.[Timothy G.], Smith, J.D.[Jonathan D.],
Designing a Multi-Objective, Multi-Support Accuracy Assessment of the 2001 National Land Cover Data (NLCD 2001) of the Conterminous United States,
PhEngRS(74), No. 12, December 2008, pp. 1561-1572.
WWW Version. 0804
A framework for designing accuracy assessments of largearea land-cover maps developed and applied to the 2001 National Land Cover Data. BibRef

Li, Z.[Zhe],
Fuzzy ARTMAP-based Neurocomputational Spatial Uncertainty Measures,
PhEngRS(74), No. 12, December 2008, pp. 1573-1584.
WWW Version. 0804
Non-parametric Commitment and Typicality measures for the fuzzy ARTMAP computational neural network to handle spatial uncertainty in remotely sensed imagery classification. BibRef

Geiger, B., Carrer, D., Franchistéguy, L., Roujean, J.L., Meurey, C.,
Land Surface Albedo Derived on a Daily Basis From Meteosat Second Generation Observations,
GeoRS(46), No. 11, November 2008, pp. 3841-3856.
IEEE DOI Link 0812
BibRef

Carrer, D., Roujean, J.L., Meurey, C.,
Comparing Operational MSG/SEVIRI Land Surface Albedo Products From Land SAF With Ground Measurements and MODIS,
GeoRS(48), No. 4, April 2010, pp. 1714-1728.
IEEE DOI Link 1003
BibRef

Lowry, Jr., J.H.[John H.], Ramsey, R.D.[R. Douglas], Stoner, L.L.[Lisa Langs], Kirby, J.[Jessica], Schulz, K.[Keith],
An Ecological Framework for Evaluating Map Errors Using Fuzzy Sets,
PhEngRS(74), No. 12, December 2008, pp. 1509-1520.
WWW Version. 0804
Using an ecological context to define varying levels of landcover class similarity, a decision framework guides map experts' decisions and provides a more meaningful assessment of map errors using fuzzy sets. BibRef

Liu, X., Li, X., Liu, L., He, J., Ai, B.,
An Innovative Method to Classify Remote-Sensing Images Using Ant Colony Optimization,
GeoRS(46), No. 12, December 2008, pp. 4198-4208.
IEEE DOI Link 0812
BibRef

Lehner, P.E., Adelman, L., DiStasio, R.J., Erie, M.C., Mittel, J.S., Olson, S.L.,
Confirmation Bias in the Analysis of Remote Sensing Data,
SMC-A(39), No. 1, January 2009, pp. 218-226.
IEEE DOI Link 0901
BibRef

Wuest, B.[Ben], Zhang, Y.[Yun],
Region based segmentation of QuickBird multispectral imagery through band ratios and fuzzy comparison,
PandRS(64), No. 1, January 2009, pp. 55-64.
Elsevier DOI Link
WWW Version. 0804
Remote sensing; Segmentation; QuickBird; Algorithms; Land cover BibRef

Shen, Z.Q.[Zhang-Quan], Qi, J.G.[Jia-Guo], Wang, K.[Ke],
Modification of Pixel-swapping Algorithm with Initialization from a Sub-pixel/pixel Spatial Attraction Model,
PhEngRS(75), No. 5, May 2009, pp. 557-568.
WWW Version. 0904
Based on the pixel-swapping algorithm, its initialization process is replaced by a sub-pixel mapping approach with a subpixel/ pixel spatial attraction model; the modified algorithm can improve sub-pixel mapping accuracy and computation efficiency. BibRef

Alvarez, G.A., Salinas, R.A., Malthus, T.J.,
Integrating CFD modelling, neural networks and remote sensing: controlled prediction of chlorophyll-a concentration in the Mejillones of South Bay,
IET-CV(1), No. 2, June 2007, pp. 55-65.
WWW Version. 0905
BibRef

Ge, Y., Li, S., Lakhan, V.C.,
Development and Testing of a Subpixel Mapping Algorithm,
GeoRS(47), No. 7, July 2009, pp. 2155-2164.
IEEE DOI Link 0906
BibRef

Tolpekin, V.A., Stein, A.,
Quantification of the Effects of Land-Cover-Class Spectral Separability on the Accuracy of Markov-Random-Field-Based Superresolution Mapping,
GeoRS(47), No. 9, September 2009, pp. 3283-3297.
IEEE DOI Link 0909
BibRef

Jimenez Berni, J.A., Zarco-Tejada, P.J., Suárez, L., Fereres, E.,
Thermal and narrow-band multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle,
GeoRS(47), No. 3, March 2009, pp. 722-738. BibRef 0903

Jimenez Berni, J.A., Zarco-Tejada, P.J., Suárez, L., González-Dugo, V., Fereres, E.,
Remote sensing of vegetation from UAV platforms using lightweight multispectral and thermal imaging sensors,
HighRes09(xx-yy).
PDF Version. 0906
BibRef

Waske, B.[Bjorn], Braun, M.[Matthias],
Classifier ensembles for land cover mapping using multitemporal SAR imagery,
PandRS(64), No. 5, September 2009, pp. 450-457.
Elsevier DOI Link
WWW Version. 0910
Decision tree; Random forests; Boosting; Multitemporal SAR data; Land cover classification BibRef

Chen, C.H., (Ed.)
Image Processing for Remote Sensing,
CRC PressOctober, 2007, ISBN: 9781420066647
WWW Version. To purchase this book look here 0910
BibRef

Borengasser, M.[Marcus], Hungate, W.S.[William S.], Watkins, R.[Russell],
Hyperspectral Remote Sensing: Principles and Applications,
CRC PressDecember, 2007, ISBN: 9781566706544
WWW Version. To purchase this book look here 0910
BibRef

Mather, P.[Paul], Tso, B.[Brandt], Bie-Tou,
Classification Methods for Remotely Sensed Data,
CRC PressMay 2009, ISBN: 9781420090727. Second Edition.
WWW Version. To purchase this book look here 0910
BibRef

Congalton, R.G.[Russell G.], Green, K.[Kass],
Assessing the Accuracy of Remotely Sensed Data: Principles and Practices,
CRC PressDecember, 2008, ISBN: 9781420055122
WWW Version. To purchase this book look here 0910
BibRef

Serra, P., Moré, G., Pons, X.,
Thematic Accuracy Consequences in Cadastre Landcover Enrichment from a Pixel and from a Polygon Perspective,
PhEngRS(75), No. 12, December 2009, pp. 1441-1450.
WWW Version. 1001
An analysis of thematic accuracy consequences of being more or less restrictive at the classification stage and of applying different mode restrictions in polygon enrichment. BibRef

Davies, W.H., North, P.R.J., Grey, W.M.F., Barnsley, M.J.,
Improvements in Aerosol Optical Depth Estimation Using Multiangle CHRIS/PROBA Images,
GeoRS(48), No. 1, January 2010, pp. 18-24.
IEEE DOI Link 1001
BibRef

Baraldi, A., Gironda, M., Simonetti, D.,
Operational Two-Stage Stratified Topographic Correction of Spaceborne Multispectral Imagery Employing an Automatic Spectral-Rule-Based Decision-Tree Preliminary Classifier,
GeoRS(48), No. 1, January 2010, pp. 112-146.
IEEE DOI Link 1001
BibRef

Forzieri, G., Castelli, F., Vivoni, E.R.,
A Predictive Multidimensional Model for Vegetation Anomalies Derived From Remote-Sensing Observations,
GeoRS(48), No. 4, April 2010, pp. 1729-1741.
IEEE DOI Link 1003
BibRef

Xie, Y.C.[Yi-Chun], Sha, Z.Y.[Zong-Yao], Bai, Y.F.[Yong-Fei],
Classifying historical remotely sensed imagery using a tempo-spatial feature evolution (T-SFE) model,
PandRS(65), No. 2, March 2010, pp. 182-190.
Elsevier DOI Link
WWW Version. 1003
Classification; GIS; History; Landsat; Vegetation BibRef

Mills, S.J., Gerardo Castro, M.P., Li, Z., Cai, J., Hayward, R., Mejias, L., Walker, R.A.,
Evaluation of Aerial Remote Sensing Techniques for Vegetation Management in Power-Line Corridors,
GeoRS(48), No. 9, September 2010, pp. 3379-3390.
IEEE DOI Link 1008
BibRef

Pisek, J.[Jan], Chen, J.M.[Jing M.], Lacaze, R.[Roselyne], Sonnentag, O.[Oliver], Alikas, K.[Krista],
Expanding global mapping of the foliage clumping index with multi-angular POLDER three measurements: Evaluation and topographic compensation,
PandRS(65), No. 4, July 2010, pp. 341-346.
Elsevier DOI Link
WWW Version. 1003
Multi-angle remote sensing; Vegetation clumping index; POLDER; BRDF BibRef

Salberg, A.B.,
Land Cover Classification of Cloud-Contaminated Multitemporal High-Resolution Images,
GeoRS(49), No. 1, January 2011, pp. 377-387.
IEEE DOI Link 1101
BibRef

Liu, K.[Kimfung], Shi, W.Z.[Wen-Zhong], Zhang, H.[Hua],
A fuzzy topology-based maximum likelihood classification,
PandRS(66), No. 1, January 2011, pp. 103-114.
Elsevier DOI Link
WWW Version. 1101
Fuzzy topology; Maximum likelihood classification (MLC); Thresholding; Remote sensing; Land cover mapping BibRef

Li, W., Guo, Q., Elkan, C.,
A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data,
GeoRS(49), No. 2, February 2011, pp. 717-725.
IEEE DOI Link 1102
BibRef

Baek, J., Kim, J.W., Lim, G.J., Lee, D.C.,
Electromagnetic Land Surface Classification Through Integration of Optical and Radar Remote Sensing Data,
GeoRS(49), No. 4, April 2011, pp. 1214-1222.
IEEE DOI Link 1104
BibRef

Esch, T., Schenk, A., Ullmann, T., Thiel, M., Roth, A., Dech, S.,
Characterization of Land Cover Types in TerraSAR-X Images by Combined Analysis of Speckle Statistics and Intensity Information,
GeoRS(49), No. 6, June 2011, pp. 1911-1925.
IEEE DOI Link 1106
See also Delineation of Urban Footprints From TerraSAR-X Data by Analyzing Speckle Characteristics and Intensity Information. BibRef

Longepe, N., Rakwatin, P., Isoguchi, O., Shimada, M., Uryu, Y., Yulianto, K.,
Assessment of ALOS PALSAR 50 m Orthorectified FBD Data for Regional Land Cover Classification by Support Vector Machines,
GeoRS(49), No. 6, June 2011, pp. 2135-2150.
IEEE DOI Link 1106
BibRef

Jun, G., Ghosh, J.,
Spatially Adaptive Classification of Land Cover With Remote Sensing Data,
GeoRS(49), No. 7, July 2011, pp. 2662-2673.
IEEE DOI Link 1107
BibRef

Stavrakoudis, D.G., Theocharis, J.B., Zalidis, G.C.,
A Boosted Genetic Fuzzy Classifier for land cover classification of remote sensing imagery,
PandRS(66), No. 4, July 2011, pp. 529-544.
Elsevier DOI Link
WWW Version. 1107
AdaBoost; Genetic fuzzy rule-based classification systems (GFRBCS); Local feature selection; Textural and spatial features; Multispectral image classification BibRef

Stavrakoudis, D.G., Galidaki, G.N., Gitas, I.Z., Theocharis, J.B.,
A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery,
GeoRS(50), No. 1, January 2012, pp. 130-148.
IEEE DOI Link 1201
BibRef

Ramoelo, A.[Abel], Skidmore, A.K.[Andrew K.], Schlerf, M.[Martin], Mathieu, R.[Renaud], Heitkonig, I.M.A.[Ignas M.A.],
Water-removed spectra increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus concentrations,
PandRS(66), No. 4, July 2011, pp. 408-417.
Elsevier DOI Link
WWW Version. 1107
Nitrogen concentration; Phosphorus concentration; Water removal; Continuum removal; Bootstrapping BibRef

Li, W.D.[Wei-Dong], Zhang, C.R.[Chuan-Rong],
A Markov Chain Geostatistical Framework for Land-Cover Classification With Uncertainty Assessment Based on Expert-Interpreted Pixels From Remotely Sensed Imagery,
GeoRS(49), No. 8, August 2011, pp. 2983-2992.
IEEE DOI Link 1108
BibRef

Saadat, H.[Hossein], Adamowski, J.[Jan], Bonnell, R.[Robert], Sharifi, F.[Forood], Namdar, M.[Mohammad], Ale-Ebrahim, S.[Sasan],
Land use and land cover classification over a large area in Iran based on single date analysis of satellite imagery,
PandRS(66), No. 5, September 2011, pp. 608-619.
Elsevier DOI Link
WWW Version. 1110
Land use and land cover (LULC) classification; Unsupervised classification; Supervised classification; Normalized Difference Vegetation Index (NDVI); Golestan Dam watershed BibRef

Nidamanuri, R.R.[Rama Rao], Zbell, B.[Bernd],
Use of field reflectance data for crop mapping using airborne hyperspectral image,
PandRS(66), No. 5, September 2011, pp. 683-691.
Elsevier DOI Link
WWW Version. 1110
Field spectrometry; HyMAP; Hyperspectral remote sensing; Crop classification; Spectral library BibRef

Main, R.[Russell], Cho, M.A.[Moses Azong], Mathieu, R.[Renaud], O'Kennedy, M.M.[Martha M.], Ramoelo, A.[Abel], Koch, S.[Susan],
An investigation into robust spectral indices for leaf chlorophyll estimation,
PandRS(66), No. 6, November 2011, pp. 751-761.
Elsevier DOI Link
WWW Version. 1112
Leaf level reflectance; Leaf chlorophyll; Red-edge; Vegetation indices; Photosynthetic activity BibRef

Darvishzadeh, R.[Roshanak], Atzberger, C.[Clement], Skidmore, A.[Andrew], Schlerf, M.[Martin],
Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models,
PandRS(66), No. 6, November 2011, pp. 894-906.
Elsevier DOI Link
WWW Version. 1112
Mediterranean grassland; Mapping LAI; Hyperspectral; Modeling; Partial least square regression; Vegetation indices BibRef

Rizvi, I.A., Mohan, B.K.,
Object-Based Image Analysis of High-Resolution Satellite Images Using Modified Cloud Basis Function Neural Network and Probabilistic Relaxation Labeling Process,
GeoRS(49), No. 12, December 2011, pp. 4815-4820.
IEEE DOI Link 1201
Classification of objects, not just pixels. BibRef

Xu, Q.[Qi], Liu, L.M.[Liang-Ming], Zhou, Z.[Zheng], Zhang, L.F.[Le-Fei],
Detection of river ice using relevance vector machine,
IASP11(538-541).
IEEE DOI Link 1112
BibRef

Li, W.W.[Wei-Wei], Du, J.[Jian], Yi, B.L.[Bao-Lin],
Study on classification for vegetation spectral feature extraction method based on decision tree algorithm,
IASP11(665-669).
IEEE DOI Link 1112
BibRef

Lu, J.Z.[Jia-Zheng], Luo, J.[Jing], Zhang, H.[Hongxian], Li, B.[Bo], Li, F.[Fuhai],
An image recognition algorithm based on thickness of ice cover of transmission line,
IASP11(210-213).
IEEE DOI Link 1112
BibRef

Gu, I.Y.H.[Irene Y.H.], Sistiaga, U.[Unai], Berlijn, S.M.[Sonja M.], Fahlström, A.[Anders],
Intelligent Video Surveillance for Detecting Snow and Ice Coverage on Electrical Insulators of Power Transmission Lines,
CAIP09(1179-1187).
Springer DOI Link 0909
BibRef

Sarhan, E.[Ebada], Khalifa, E.[Eraky], Nabil, A.M.[Ayman M.],
Post classification using Cellular Automata for Landsat images in developing countries,
ICIIP11(1-4).
IEEE DOI Link 1112
BibRef

Fang, Y.M.[Yuan-Min], Chen, J.[Jie], Xia, Y.H.[Yong-Hua], Song, W.W.[Wei-Wei], Yang, Y.M.[Yong-Ming],
Research on Adaptive Classification Algorithm of Remote Sensing Image,
ISIDF11(1-4).
IEEE DOI Link 1111
BibRef

Zhai, L.[Liang], Sun, J.P.[Jin-Ping], Xie, W.[Wenhan], Yang, G.[Gang], Sang, H.Y.[Hui-Yong], Jia, Y.[Yi],
Land Cover Mapping with Landsat Data: The Tasmania Case Study,
ISIDF11(1-4).
IEEE DOI Link 1111
BibRef

Luo, C.F.[Cheng-Feng], Zhou, L.H.[Lu-Hong], Liu, J.[Juan], Fu, T.X.[Tian-Xin],
The Study on Land Cover Classification System in China under Environment and Land Resource View,
ISIDF11(1-4).
IEEE DOI Link 1111
BibRef

Wang, L.[Lei], Chen, J.[Jun], Zhang, H.W.[Hong-Wei], Chen, L.J.[Li-Jun],
Difference Analysis of SRTM C-Band DEM and ASTER GDEM for Global Land Cover Mapping,
ISIDF11(1-4).
IEEE DOI Link 1111
BibRef

Masse, A.[Antoine], Ducrot, D.[Danielle], Marthon, P.[Philippe],
Tools for multitemporal analysis and classification of multisource satellite imagery,
MultiTemp11(209-212).
IEEE DOI Link 1109
BibRef

Vaduva, C., Costachioiu, T., Patrascu, C., Gavat, I., Lazarescu, V., Datcu, M.,
Classification of dynamic evolutions from satellitar image time series based on similarity measures,
MultiTemp11(141-144).
IEEE DOI Link 1109
Dynamic land cover analysis BibRef

Colditz, R.R.[Rene R.], Llamas, R.M.[Ricardo M.],
Generation of 250m MODIS LAI time series by temporal regression,
MultiTemp11(105-108).
IEEE DOI Link 1109
leaf area index BibRef

Verger, A.[Aleixandre], Baret, F.[Frederic], Weiss, M.[Marie], Kandasamy, S.[Sivasathivel], Vermote, E.[Eric],
Quantification of LAI interannual anomalies by adjusting climatological patterns,
MultiTemp11(113-116).
IEEE DOI Link 1109
BibRef

Verhegghen, A.[Astrid], Defourny, P.[Pierre],
Phenology of the natural vegetation: A land cover specific approach for a reference dataset in Central Africa,
MultiTemp11(257-260).
IEEE DOI Link 1109
BibRef

Roerink, G.J., Danes, M.H.G.I., Gomez Prieto, O., de Wit, A.J.W., van Vliet, A.J.H.,
Deriving plant phenology from remote sensing,
MultiTemp11(261-264).
IEEE DOI Link 1109
BibRef

Forster, M.[Michael], Frick, A.[Annett], Kleinschmit, B.[Birgit],
Utilization of spectral measurements and phenological observations to detect grassland-habitats with a RapidEye intra-annual time-series,
MultiTemp11(265-267).
IEEE DOI Link 1109
BibRef

Pasolli, L.[Luca], Notarnicola, C.[Claudia], Bruzzone, L.[Lorenzo], Zebisch, M.[Marc],
Spatial and temporal mapping of leaf area index in Alpine pastures and meadows with satellite MODIS imagery,
MultiTemp11(109-112).
IEEE DOI Link 1109
BibRef

Silva, G.B.S.[Gustavo Bayma Siqueira], Mello, M.P.[Marcio Pupin], Shimabukuro, Y.E.[Yosio Edemir], Rudorff, B.F.T.[Bernardo Friedrich Theodor], de Castro Victoria, D.[Daniel],
Multitemporal classification of natural vegetation cover in Brazilian Cerrado,
MultiTemp11(117-120).
IEEE DOI Link 1109
BibRef

Julien, Y., Sobrino, J.A.,
Monitoring global vegetation with the Yearly Land Cover Dynamics (YLCD) method,
MultiTemp11(121-124).
IEEE DOI Link 1109
BibRef

Ventura, B., Schellenberger, T., Notarnicola, C., Zebisch, M., Nagler, T., Rott, H., Maddalena, V., Ratti, R., Tampellini, L.,
Snow cover monitoring in alpine regions with COSMO-SkyMed images by using a multitemporal approach and depolarization ratio,
MultiTemp11(129-132).
IEEE DOI Link 1109
BibRef

Dusseux, P.[Pauline], Hubert-Moy, L.[Laurence], Lecerf, R.[Remi], Gong, X.[Xing], Corpetti, T.[Thomas],
Identification of grazed and mown grasslands using a time series of high-spatial-resolution remote sensing images,
MultiTemp11(145-148).
IEEE DOI Link 1109
BibRef

Gokaraju, B.[Balakrishna], Durbha, S.S.[Surya S.], King, R.L.[Roger L.], Younan, N.H.[Nicolas H.],
Investigation of evolutionary feature subset selection in multi-temporal datasets for harmful algal bloom detection,
MultiTemp11(149-152).
IEEE DOI Link 1109
BibRef

Bontemps, S.[Sophie], Defourny, P.[Pierre], Van Bogaert, E.[Eric], Herold, M.[Martin], Kooistra, L.[Lammert], Kalogirou, V.[Vasileios], Arino, O.[Olivier],
Producing global land cover maps consistent over time to respond the needs of the climate modelling community,
MultiTemp11(161-164).
IEEE DOI Link 1109
BibRef

Heremans, S.[Stien], Orshoven, J.V.[Jos Vand_],
Effect of the learning algorithm on the accuracy of sub-pixel land use classifications with multilayer perceptrons,
MultiTemp11(193-196).
IEEE DOI Link 1109
BibRef

Inglada, J.[Jordi], Hagolle, O.[Olivier], Dedieu, G.[Gerard],
Low and high spatial resolution time series fusion for improved land cover map production,
MultiTemp11(77-80).
IEEE DOI Link 1109
BibRef

Satalino, G.[Giuseppe], Impedovo, D.[Donato], Balenzano, A.[Anna], Mattia, F.[Francesco],
Land cover classification by using multi-temporal COSMO-SkyMed data,
MultiTemp11(17-20).
IEEE DOI Link 1109
BibRef

Schmidt, A., Rottensteiner, F., Sörgel, U.,
Detection of Water Surfaces in Full-Waveform Laser Scanning Data,
HighRes11(xx-yy).
PDF Version. 1106
BibRef

Recio, J.A., Ruiz, L.Á.[Luis Á.], Hermosilla, T.[Txomin], Herrera-Cruz, V., Fdez-Sarría, A.,
Combination of TERRASAR-X and Optical Imagery for LU/LC Mapping using an Object-Based Approach,
HighRes11(xx-yy).
PDF Version. 1106
Also use backscattering informaton. BibRef

van der Kwast, J.[Johannes], Delrue, J.[Josefien], Bertels, L.[Luc], Engelen, G.[Guy],
Automated Land-Use Map Production from Aerial Photographs of Puerto Rico Using a Contextual Reclassification Algorithm,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Gerçek, D.[Deniz], Zeydanl, U.[Ugur],
Object-Based Classification of Landscape into Land Management Units (LMUs),
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Zabala, A., Cea, C., Pons, X.,
Segmentation and Thematic Classification of Color Orthophotos Over Non-Compressed And JPEG 2000 Compressed Images,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Chan, J.C.W., Spanhove, T., Ma, J., Vanden Borre, J., Paelinckx, D., Canters, F.,
Natura 2000 Habitat Identification and Conservation Status Assessment with Superresolution Enhanced Hyperspectral (CHRIS/PROBA) Imagery,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Bertani, T.C., Novack, T., Hayakawa, E.H., Zani, H.,
Detection of Saline and Non-Saline Lakes on the Pantanal of Nhecolândia (Brazil) Using Object-Based Image Analysis,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Camargo, F.F., Almeida, C.M., Costa, G.A.O.P., Feitosa, R.Q., Oliveira, D.A.B., Ferreira, R.S., Heipke, C.,
Cognitive Approaches and Optical Multispectral Data for Semiautomated Classification of Landforms in a Rugged Mountainous Area,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Kanjir, U., Veljanovski, T., Marsetic, A., Oštir, K.,
Application of Object Based Approach to Heterogeneous Land Cover/Use,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Arroyo, L.A.[Lara A.], Johansen, K.[Kasper], Phinn, S.[Stuart],
Mapping Land Cover Types from Very High Spatial Resolution Imagery: Automatic Application of an Object Based Classification Scheme,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Lizarazo, I.[Ivan],
Fuzzy Image Regions for Quantitative Land Cover Analysis,
GEOBIA10(xx-yy).
WWW Version. 1007
BibRef

Malinverni, E.S., Tassetti, A.N., Bernardini, A.,
Automatic Land Use/Land Cover Classification System with Rules Based Both on Objects Attributes and Landscape Indicators,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Luo, B.[Bin], Chanussot, J.[Jocelyn],
Geometrical features for the classification of very high resolution multispectral remote-sensing images,
ICIP10(1045-1048).
IEEE DOI Link 1009
BibRef

Gomah, M.[Mahmoud], Trinder, J.[John], Shaker, A.[Ahmed], Hamed, M.[Mahmoud], Elsagheer, A.[Ali],
Integrating multiple classifiers with fuzzy majority voting for improved land cover classification,
PCVIA10(A:7).
PDF Version. 1009
BibRef

Steinbacher, F.[Frank],
Airborne hydromapping area-wide surveying of shallow water areas,
CGC10(191).
PDF Version. 1006
BibRef

Bampfylde, C.[Caroline], Hughes, S.[Simon], Page, D.[Don], Purdy, B.[Brett], Stanley, S.[Susan], Syed, A.[Aneeqa],
Compiling a geospatial database of existing oil sands industrial features for Alberta Environment,
CGC10(171).
PDF Version. 1006
BibRef

Ma, S.[Shifa], He, J.H.[Jian-Hua], Liu, F.[Feng],
Land-use Spatial Optimization Model Based On Particle Swarm Optimization,
VCGVA09(xx-yy). 0910
Particle Swarm Optimization PSO, Land-Use Spatial Allocation, Spatial Modeling, GIS BibRef

Xiong, B.[Biao], Zhang, X.J.[Xiao-Jun], Jiang, W.[Wanshou],
Semi-supervised Classification Based On Gauss Mixture Model For Remote Imagery,
VCGVA09(xx-yy). 0910
Virtual Globe; Remote Sensing Image; Thematic Information; Semi-Supervised Classification; Gauss Mixture Model; EM algorithms BibRef

Abadi, M.[Mohamed], Capelle-Laizé, A.S.[Anne-Sophie], Khoudeir, M.[Majdi], Combes, D.[Didier], Carré, S.[Serge],
Grassland Species Characterization for Plant Family Discrimination by Image Processing,
ICISP10(173-181).
Springer DOI Link 1006
BibRef

Zuo, L.J.[Li-Jun], Dong, T.T.[Ting-Ting], Wang, X.[Xiao], Zhao, X.L.[Xiao-Li], Yi, L.[Ling], Liu, B.[Bin],
A new method of MCI extraction with multi-temporal MODIS EVI data,
IASP10(537-543).
IEEE DOI Link 1004
multiple cropping index. BibRef

Zhang, F.S.[Fa-Sheng], Liu, Z.X.[Zuo-Xin], Geng, X.Y.[Xiao-Yuan], Wang, Z.Y.[Zhen-Ying],
Mapping surface soil organic matter based on multispectral image,
IASP10(240-242).
IEEE DOI Link 1004
BibRef

Dong, T.T.[Ting-Ting], Wang, Z.Y.[Zhen-Ying],
A new method to distinguish between irrigated dry land and rain-fed dry land using multi-temporal MODIS and ancillary data: An application example in China,
IASP10(393-398).
IEEE DOI Link 1004
BibRef

Morimoto, T.[Tetsuro], Ikeuchi, K.[Katsushi],
Multispectral imaging for material analysis in an outdoor environment using Normalized Cuts,
CRICV09(1909-1916).
IEEE DOI Link 0910
Not really crops, but similar result. BibRef

Ons, G.[Ghariani], Tebourbi, R.[Riadh],
Object oriented hierarchical classification of high resolution remote sensing images,
ICIP09(1681-1684).
IEEE DOI Link 0911
BibRef

Long, Z.Y.[Zhi-Yong], He, M.[Mingyuan], Shi, H.Q.[Han-Qing], Rao, R.[Ruoyu],
Study on Water Bodies Extraction with FY3A Satellite Image,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Liu, M.[Min], Huang, F.[Fang], Zhang, H.[Hannv], Wang, P.[Ping],
Vegetation Canopy Water Content Estimation Using GVMI and EWT Model from MODIS Data,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Fang, L.[Lei], Jiang, T.[Tao], Shan, C.Z.[Chun-Zhi], Li, H.W.[Hai-Wei],
A Per-Pixel Stratified Classification Methodology for Land Cover Mapping Based on Medium-Resolution Satellite Imagery,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Huang, Y.[Ying], Zhou, Y.X.[Yun-Xuan], Li, X.[Xing], Kuang, R.Y.[Run-Yuan], Zheng, Z.S.[Zong-Sheng],
Two Strategies for Remote Sensing Classification Accuracy Improvement of Salt Marsh Vegetation: A Case Study in Chongming Dongtan,
CISP09(1-7).
IEEE DOI Link 0910
BibRef

Qian, Y.R.[Yu Rong], Yang, F.[Feng], Li, J.L.[Jian Long],
Wavelet-Based Feature Extraction for Retrieval of Photosynthetic Pigment Concentrations from Hyperspectral Reflectance,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Liu, D.Z.[Da-Zhao], Chen, C.Q.[Chu-Qun], Gong, J.Q.[Jie-Qiong], Fu, D.Y.[Dong-Yang],
Retrieval of Colored Dissolved Organic Matter in Pearl River Estuary Using MODIS Data,
CISP09(1-3).
IEEE DOI Link 0910
BibRef

Giguere, P.[Philippe], Dudek, G.[Gregory], Prahacs, C.[Christopher], Plamondon, N.[Nicolas], Turgeon, K.[Katrine],
Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration,
CRV09(268-275).
IEEE DOI Link 0905
BibRef

Arnold, S.,
Digital Landscape Model DLM-DE: Deriving land cover information by integration of topographic reference data with remote sensing data,
HighRes09(xx-yy).
PDF Version. 0906
BibRef

Hefnawy, A.A.,
A High Accuracy Land Use/Cover Retrieval System,
HighRes09(xx-yy).
PDF Version. 0906
BibRef

Zingaretti, P.[Primo], Frontoni, E.[Emanuele], Malinverni, E.S.[Eva Savina], Mancini, A.[Adriano],
A Hybrid Approach to Land Cover Classification from Multi Spectral Images,
CIAP09(500-508).
Springer DOI Link 0909
BibRef

Wang, O.[Oliver], Gunawardane, P.[Prabath], Scher, S.[Steve], Davis, J.[James],
Material classification using BRDF slices,
CVPR09(2805-2811).
IEEE DOI Link 0906
Bidirectional Reflectance Distribution Function BibRef

Yu, H.Y.[Hai-Yang], Gan, F.P.[Fu-Ping],
Object recognition of high resolution remote sensing image based on PSWT,
IASP09(52-56).
IEEE DOI Link 0904
BibRef

McNeill, S.J., Pairman, D., Belliss, S.E., Dalley, D., Dynes, R.,
Estimation of pasture biomass using dual-polarisation radar imagery: A preliminary study,
IVCNZ08(1-6).
IEEE DOI Link 0811
BibRef

Borkowski, A., Józków, G.,
Airborne Laser Scanning Data Filtering Using Flakes,
ISPRS08(B3b: 179 ff).
PDF Version. 0807
BibRef

Tymkow, P., Borkowski, A.,
Land Cover Classification Using Airborne Laser Scanning Data and Photographs,
ISPRS08(B3b: 185 ff).
PDF Version. 0807
BibRef

Silva, S.[Sara], Tseng, Y.T.[Yao-Ting],
Classification of Seafloor Habitats Using Genetic Programming,
EvoIASP08(xx-yy).
Springer DOI Link 0804
BibRef

López, A.A.[Adrian A.], Malpica, J.A.[José A.],
High Resolution Satellite Classification with Graph Cut Algorithms,
ISVC08(II: 105-112).
Springer DOI Link 0812
BibRef

Alonso, M.C.[María C.], Malpica, J.A.[José A.],
Classification of Multispectral High-Resolution Satellite Imagery Using LIDAR Elevation Data,
ISVC08(II: 85-94).
Springer DOI Link 0812
BibRef

Alonso, M.C.[María C.], Sanz, M.A.[María A.], Malpica, J.A.[José A.],
Classification of High Resolution Satellite Images Using Texture from the Panchromatic Band,
ISVC07(II: 499-508).
Springer DOI Link 0711
BibRef

Le Bris, A., Boldo, D.,
Extraction of Landcover Themes out of Aerial Orthoimages in Mountainous Areas Using External Information,
PIA07(123).
PDF Version. 0711
BibRef

Brzank, A., Heipke, C.,
Supervised Classification of Water Regions from Lidar Data in the Wadden Sea Using a Fuzzy Logic Concept,
Laser07(90).
PDF Version. 0709
BibRef

Ratanopad, S., Kainz, W.,
Land Cover Classification and Monitoring in Northeast Thailand Using Landsat 5 TM Data,
IfromI06(xx-yy).
PDF Version. 0607
BibRef

Jones, S.D., Ferwerda, J.G., Reinke, K.J.,
Scaling the Walls of History: The Perils and Pitfalls of Multi-Scale Land Cover Comparison,
IfromI06(xx-yy).
PDF Version. 0607
BibRef

Lacerda, M.P.C., Barbosa, I.O., Alves, H.M.R., Vieira, T.G.C., Menezes, P.R.,
The Use of Soil-Landscape Relationships Modelling and Geotechnologies for Detailing the Soil Map Of Distrito Federal in Brazil,
IfromI06(xx-yy).
PDF Version. 0607
BibRef

Shkvarko, Y.V.[Yuriy V.], Villalon-Turrubiates, I.E.[Ivan E.],
Remote Sensing Imagery and Signature Fields Reconstruction Via Aggregation of Robust Regularization with Neural Computing,
ACIVS07(865-876).
Springer DOI Link 0708
BibRef

Ferreiro-Armán, M.[Marcos], Bandeira, L.P.C.[Lourenço P. C.], Martín-Herrero, J.[Julio], Pina, P.[Pedro],
Classifiers for Vegetation and Forest Mapping with Low Resolution Multiespectral Imagery,
IbPRIA07(I: 177-184).
Springer DOI Link 0706
BibRef

Yang, Y.F.[Yeh Fen], Lohmann, P.[Peter], Heipke, C.[Christian],
Genetic Algorithms for the Unsupervised Classification of Satellite Images,
PCV06(xx-yy).
PDF Version. 0609
BibRef

Argany, M., Amini, J.,
Artificial neural networks for improvement of classification accuracy in Landsat ETM+ images,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Jia, Z., Liu, X.,
Study and application of a multi-resolution hierarchy remote sensing image classification,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Corcoran, P., Winstanley, A.,
Using texture to tackle the problem of scale in land-cover classification,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Chmiel, J.,
Example of object based approach in land cover classification of VHR satellite image for agricultural areas,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Delenne, C., Rabatel, G., Agurto, V., Deshayes, M.,
Vine plot detection in aerial images using Fourier analysis,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Tarantino, E., Caprioli, M.,
Multiscale representation of brownfield sites with IKONOS imagery,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Preiner, M., Weinke, E., Lang, S.,
Two structure-related strategies for automatically delineating and classifying habitats in an alpine environment,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Urbanski, J.A.,
The Extraction of Coastline Using OBIA And GIS,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Urbanski, J.A.,
Using ArcGIS Model Builder for object-based image classification of seagrass meadows,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Torra, R.,
Application of Landsat TM 5 images to supervised and non-supervised classifications in the northeastern region of Argentina (South America). Creating proxies to automatic natural resources monitoring in mid-detail scales,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Carleer, A.P., Wolff, E.,
Region-based classification potential for land-cover classification with very high spatial resolution satellite data,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Kamagata, N., Hara, K., Mori, M., Akamatsu, Y., Li, Y., Hoshino, Y.,
A new method of vegetation mapping by object-based classification using high resolution satellite data,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Luscier, J.D., Thompson, W.L., Wilson, J.M., Gorham, B.E., Dragut, L.D.,
Using digital photographs and object-based image analysis to estimate percent ground cover in vegetation plots,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Müterthies, M., Buck, O.,
DeCOVER: Developing a methodology to update land cover data for public authorities in Germany,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Riedel, T., Thiel, C., Schmullius, C.,
An object-based classification procedure for the derivation of broad land cover classes using both optical and SAR data,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Smith, G.,
The development of integrated object-based analysis of EO data within UK national land cover products,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Levick, S., Rogers, K.H.,
LiDAR and object-based image analysis as tools for monitoring the structural diversity of savanna vegetation,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Lück, W.,
An object oriented data model for a high end land cover classification product,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Lübker, T., Schaab, G.,
Optimization of Parameter Settings for Multilevel Image Segmentation in GEOBIA,
HighRes09(xx-yy).
PDF Version. 0906
GEOBIA: GEOgraphic Object-Based Image Analysis. BibRef

Lübker, T., Schaab, G.,
A Work-Flow Design for Large-Area Multilevel Geobia: Integrating Statistical Measures and Expert Knowledge,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Lübker, T., Schaab, G.,
Large area QuickBird imagery for object-based image analysis in Western Kenya: pre-processing difficulties, workarounds and resulting benefits as well as (first) segmentation strategies,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Grenier, M., Demers, A.M., Labrecque, S., Benoit, M., Fournier, R., Drolet, B.,
Wetland mapping using object-oriented classification, a multi-scale approach for the Canadian Wetland Inventory (CWI) initiative,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Kelly, M., Tuxen, K.,
Integrating Lidar and CIR imagery for mapping tidal wetlands: an object-based approach,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Pan, C.H.[Chun-Hong], Wu, G.[Gang], Prinet, V.[Veronique], Yang, Q.[Qing], Ma, S.D.[Song-De],
A Band-Weighted Landuse Classification Method for Multispectral Images,
CVPR05(I: 96-102).
IEEE DOI Link 0507
BibRef

Song, J.H.[Jeong Heon], Han, S.H.[Soo Hee], Yu, K.Y.[Ki Yun], Kim, Y.I.[Yong Il],
Assessing the Possibility of Land-Cover Classification Using LIDAR Intensity Data,
PCV02(B: 259). 0305
BibRef

Ohkubo, A.[Akito], Niijima, K.[Koichi],
New Supervised Learning of Neural Networks for satellite image classification,
ICIP99(I:505-509).
IEEE Abstract. Land Cover Classification BibRef 9900

Kubo, M.[Mamoru], Muramoto, K.I.[Ken-Ichiro],
Continuous Analysis of Sea Ice Distribution by Geometric Transformation and Template Matching using Video Images Taken from a Ship,
ICIP99(II:321-325).
IEEE Abstract. BibRef 9900

Mathieu, S., Berthod, M., Leymarie, P.,
Determination of proportions and entropy of land use mixing in pixels of a multispectral satellite image,
ICPR94(A:798-800).
IEEE DOI Link 9410
BibRef

Taniguchi, R.I., Kawaguchi, E.,
Knowledge-Based Image Analysis of Landsat Data: How to Extract and How to Describe Water Information,
ICPR86(1236-1239). BibRef 8600

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