Keith Price Bibliography Classification for Crops, Ground Cover, Land Use, Land Cover, Remote Sensing

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. 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.
WWW Version. 0401 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. A statistical analysis of the potential impact of processing methodology on environmental assessment results is presented.
WWW Version. 0401 BibRef

Aplin, P.[Paul], Atkinson, P.M.[Peter M.],
Predicting Missing Field Boundaries to Increase Per-Field Classification Accuracy,
PhEngRS(70), No. 1, January 2004, pp. 141-150.
WWW Version. Missing field boundaries were predicted by comparing the within-field modal land-cover proportion and local variance to increase the accuracy of per-field classification. 0403 See also Super-resolution target identification from remotely sensed images using a Hopfield neural network. 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. IEEE Top Reference. 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. This paper derives the indicators of quantity, quality, location, and morphology to access land development based on the integration of remote sensing and GIS.
WWW Version. 0509 BibRef

Islam, Z., Metternicht, G.,
The Performance of Fuzzy Operators on Fuzzy Classification of Urban Land Covers,
PhEngRS(71), No. 1, January 2005, pp. 59-68. Evaluation of the performance of fuzzy operators for integrating fuzzy membership values associated with multiple spectral bands for mapping urban land covers.
WWW Version. 0509 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. 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.
WWW Version. 0509 BibRef

Ramsey, III, E.[Elijah], Rangoonwala, A.[Amina],
Leaf Optical Property Changes Associated with the Occurrence of Spartina alterniflora Dieback in Coastal Louisiana Related to Remote Sensing Mapping,
PhEngRS(71), No. 3, March 2005, pp. 299-312. Determining optimal reflectance bands for detecting march impact with hyperspectral leaf optical analysis.
WWW Version. 0509 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. Detailed biotic communities were mapped with high accuracy using the Supervised Spectral Angle Classifier and Landsat-7 EMT+ imagery.
WWW Version. 0509 BibRef

Pozzi, F.[Francesca], Small, C.[Christopher],
Analysis of Urban Land Cover and Population Density in the United States,
PhEngRS(71), No. 6, June 2005, pp. 719-726. Analysis of population density and vegetation distribution for several cities shows a strong correspondence in cities with high population density but considerable regional variability that precludes simple spectral classifications of land cover.
WWW Version. 0509 BibRef

Li, X.Z.[Xiu-Zhen], He, H.S.[Hong S.], Bu, R.[Rencang], Wen, Q.[Qingchun], Chang, Y.[Yu], Hu, Y.[Yuanman], 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

Atkinson, P.M.[Peter M.],
Sub-pixel Target Mapping from Soft-classified, Remotely Sensed Imagery,
PhEngRS(71), No. 7, July 2005, pp. 839-846. A simple and efficient pixel-swapping algorithm for increasing the spatial resolution of land-cover classification from remotely sensed imagery.
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.
WWW Version. 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).
WWW Version. 9610 BibRef

Herold, M., Woodcock, C., diGregorio, 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.
WWW Version. 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.
WWW Version. 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
WWW Version. 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.
WWW Version. 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.
WWW Version. 0608 BibRef

Zhang, L.P.[Liang-Pei], Huang, X., Huang, B.[Bo], Li, P.X.[Ping-Xiang],
A Pixel Shape Index Coupled With Spectral Information for Classification of High Spatial Resolution Remotely Sensed Imagery,
GeoRS(44), No. 10, October 2006, pp. 2950-2961.
WWW Version. 0609 BibRef

Zhao, Y.[Yindi], Zhang, L.P.[Liang-Pei], Li, P.X.[Ping-Xiang], Huang, B.[Bo],
Classification of High Spatial Resolution Imagery Using Improved Gaussian Markov Random-Field-Based Texture Features,
GeoRS(45), No. 5, May 2007, pp. 1458-1468.
WWW Version. 0704 BibRef

Zhang, L.P.[Liang-Pei], Zhao, Y.D.[Yin-Di], Huang, B.[Bo], Li, P.X.[Ping-Xiang],
Texture Feature Fusion with Neighborhood-Oscillating Tabu Search for High Resolution Image Classification,
PhEngRS(74), No. 3, March 2008, pp. 323-332.
WWW Version. 0803Neighborhood-Oscillating tabu search integrates different types of texture features to improve classifi cation performance of high-resolution imagery. 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. 0610Object-based classification applied in vegetation mapping at alliance level with 1-meter resolution airborne imagery compared with conventional pixel-based classification. BibRef

Wu, S.S.[Shuo-Sheng], Xu, B.[Bing], Wang, L.[Le],
Urban Land-use Classification Using Variogram-based Analysis with an Aerial Photograph,
PhEngRS(72), No. 7, July 2006, pp. 813-822.
WWW Version. 0610A variogram-based texture analysis was tested for classifying detailed urban land-use classes, such as mobile home, singlefamily house, multi-family house, industrial, and commercial, from a digital color infrared aerial photograph. 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. 0610habitat 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. 0704Improving 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

Huang, H.[Heng], Legarsky, J.[Justin], Othman, M.[Maslina],
Land-cover Classification Using Radarsat and Landsat Imagery for St. Louis, Missouri,
PhEngRS(73), No. 1, January 2007, pp. 37-44.
WWW Version. 0704An investigation of the classification accuracy of merging satellite imagery from Radarsat and Landsat missions. 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.
WWW Version. 0704 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. 0709Scale; Landscape pattern; Sensor spatial resolution; Spatial metrics; Landscape ecology; Land cover analysis BibRef

Lucas, R.[Richard], Rowlands, A.[Aled], Brown, A.[Alan], Keyworth, S.[Steve], Bunting, P.[Peter],
Rule-based classification of multi-temporal satellite imagery for habitat and agricultural land cover mapping,
PandRS(62), No. 3, August 2007, pp. 165-185.
WWW Version. 0709Time-series imagery; Landsat; Segmentation; Decision rules; Fuzzy membership BibRef

Yang, P., Shibasaki, R., Wu, W., Zhou, Q., Chen, Z., Zha, Y., Shi, Y., Tang, H.,
Evaluation of MODIS Land Cover and LAI Products in Cropland of North China Plain Using In Situ Measurements and Landsat TM Images,
GeoRS(45), No. 10, October 2007, pp. 3087-3097.
WWW Version. 0711 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. 0709Properties of a pixel-swapping optimization algorithm for predicting subpixel land-cover distribution are investigated, and improvements to it are evaluated. BibRef

Van de Voorde, T.[Tim], De Genst, W.[William], Canters, F.[Frank],
Improving Pixel-based VHR Land-cover Classifications of Urban Areas with Post-classification Techniques,
PhEngRS(73), No. 9, September 2007, pp. 1017-1028.
WWW Version. 0709Three post-classification techniques were applied to improve the accuracy and the structural coherence of an urban land-cover map derived from a soft pixel-based classification. BibRef

Xu, B.[Bing], Gong, P.[Peng],
Land-use/Land-cover Classification with Multispectral and Hyperspectral EO-1 Data,
PhEngRS(73), No. 8, August 2007, pp. 955-965.
WWW Version. 0709Land-use and land-cover classification in an urban rural fringe of the San Francisco Bay Area using EO-1 Hyperion imagery is compared with that using EO-1 ALI imagery, and the application of a computationally efficient segmentation-based feature reduction approach. 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. 0709Evaluating 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. 0709Accurate 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. 0709An 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.
WWW Version. 0712 BibRef

Myint, S.W.[Soe W.], Wentz, E.A.[Elizabeth A.], Purkis, S.J.[Sam J.],
Employing Spatial Metrics in Urban Land-use/Landcover Mapping: Comparing the Getis and Geary Indices,
PhEngRS(73), No. 12, December 2007, pp. 1403-1417.
WWW Version. 0712The effectiveness of Getis index (Gi) in comparison to a measure of spatial autocorrelation (Geary's C) in classifying landuse / land-cover classes in a high resolution imagery and the impact of distance threshold used in Getis index with regards to the classification accuracy. 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. 0803A 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. 0803A 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. 0803Segmentation; 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. 0803Classification; Land-cover; Rule-based; Genetic algorithm; Knowledge rules BibRef

Karjalainen, M.[Mika], Kaartinen, H.[Harri], Hyyppä, J.[Juha],
Agricultural Monitoring Using Envisat Alternating Polarization SAR Images,
PhEngRS(74), No. 1, January 2008, pp. 117-128
WWW Version. 0803Satellite images will improve yield estimation in the future because they can provide objective information about crop growth over large areas; in this context SAR images are extremely useful due to their high revisit imaging capability. 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. 0804An 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.
WWW Version. 0806 BibRef

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

Helmholz, P., Gerke, M., Heipke, C.,
Automatic Discrimination of Farmland Types Using IKONOS Imagery,
PIA07(81).
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

Carvalho, F.A., Lacerda, M.P.C.,
Monitoring Environmental Impact of Land Use: Evaluating an Agricultural Area of Distrito Federal, Brazil,
IfromI06(xx-yy).
PDF Version. 0607 BibRef

Vieira, T.G.C., Alves, H.M.R., Souza, V.C.O., Bernardes, T., Lacerda, M.P.C.,
Assessing and Mapping Changes, in Space and Time, of Coffee Lands of the State of Minas Gerais in Brazil,
IfromI06(xx-yy).
PDF Version. 0607 BibRef

Alves, H.M.R., Vieira, T.G.C., Souza, V.C.O., Bertoldo, M.A., Lacerda, M.P.C., Andrade, H., Bernardes, N.,
Monitoring the Relationships between Environment and Coffee Production in Agroecosytems of the State of Minas Gerais 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).
WWW Version. 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).
WWW Version. 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

Fisette, T., Chenier, R., Maloley, M., Gasser, P., Huffman, T., White, L., Ogston, R., Elgarawany, A.,
Methodology for a Canadian agricultural land cover classification,
OBIA06(xx-yy).
PDF Version. 0607 BibRef

Ozdarici, A., Turker, M.,
Field-based classification of agricultural crops using multi-scale images,
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

Turker, M., Kok, E.H.,
Developing an integrated system for the extraction of sub-fields within agricultural parcels from remote sensing images,
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.,
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

Mavrantza, O.D., Argialas, D.P.,
Identification of Urban Features Using Object-Oriented Image Analysis,
PIA07(101).
PDF Version. 0711 See also Object-Oriented Image Analysis for the Identification of Geologic Lineaments. BibRef

Mavrantza, O.D., Charou, E., Stefouli, M.,
Object-oriented image analysis of land cover for multi-temporal monitoring. Case study: Zakynthos Island, Greece,
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.,
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

Yokota, S., Takeuchi, K.,
Study on the relationship between landscape characteristics of fragmented urban green spaces and distribution of urban butterflies - Application of object-based satellite image analysis,
OBIA06(xx-yy).
PDF Version. 0607 BibRef

Kux, H., Araújo, E.,
Multi-temporal object-oriented classifications and analysis of Quickbird scenes at a metropolitan area in Brazil (Belo Horizonte, Minas Gerais State),
OBIA06(xx-yy).
PDF Version. 0607 BibRef

Kux, H., Pinho, C.,
Object-oriented analysis of high-resolution satellite images for intra-urban land cover classification: case study in São José dos campos, São Paulo State, Brazil,
OBIA06(xx-yy).
PDF Version. 0607 BibRef

Pan, C.[Chunhong], Wu, G.[Gang], Prinet, V.[Veronique], Yang, Q.[Qing], Ma, S.[Songde],
A Band-Weighted Landuse Classification Method for Multispectral Images,
CVPR05(I: 96-102).
WWW Version. 0507 BibRef

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Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
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