Lu, H.Q.,
Aggarwal, J.K.,
Applying Perceptual Organization to the Detection of Man-Made Objects
in Non-Urban Scenes,
PR(25), No. 8, August 1992, pp. 835-853.
WWW Version.
BibRef
9208
Yu, S.,
Berthod, M.,
Giraudon, G.,
Toward Robust Analysis of Satellite Images Using Map Information:
Application to Urban Area Detection,
GeoRS(37), No. 4, July 1999, pp. 1925.
IEEE Top Reference.
BibRef
9907
Yu, S.,
Berthod, M.,
Urban Area Detection in Satellite Images Using Map Knowledge
by a Feedback Control Technique,
ICPR94(A:98-102).
IEEE DOI Link
BibRef
9400
Borghys, D.,
Perneel, C.,
Acheroy, M.,
Automatic detection of built-up areas in high-resolution polarimetric
SAR images,
PRL(23), No. 9, July 2002, pp. 1085-1093.
Elsevier DOI Link
0205
BibRef
Borghys, D.,
Perneel, C.,
Acheroy, M.,
A multivariate contour detector for high-resolution polarimetric SAR
images,
ICPR00(Vol III: 646-651).
IEEE DOI Link
0009
BibRef
Borghys, D.,
Lacroix, V.,
Perneel, C.,
Edge and line detection in polarimetric SAR images,
ICPR02(II: 921-924).
IEEE DOI Link
0211
BibRef
Dell'Acqua, F.,
Gamba, P.,
Texture-Based Characterization of Urban Environments on Satellite SAR
Images,
GeoRS(41), No. 1, January 2003, pp. 153-159.
IEEE Top Reference.
0304
BibRef
Dell'Acqua, F.,
Gamba, P.,
Lisini, G.,
Improvements to urban area characterization using multitemporal and
multiangle SAR images,
GeoRS(41), No. 9, September 2003, pp. 1996-2004.
IEEE Abstract.
0310
BibRef
Gamba, P.[Paolo],
Dell'Acqua, F.[Fabio],
Lisini, G.,
Trianni, G.,
Improved VHR Urban Area Mapping Exploiting Object Boundaries,
GeoRS(45), No. 8, August 2007, pp. 2676-2682.
IEEE DOI Link
0709
BibRef
Bian, L.[Ling],
Retrieving Urban Objects Using a Wavelet Transform Approach,
PhEngRS(69), No. 2, February 2003, pp. 133-142.
The Harr wavelet transform is used to represent edge information for
the retrieval of traditional industrial complexes
from digital aerial photographs in an urban area.
WWW Version.
0304
BibRef
Grey, W.M.F.[William M.F.],
Luckman, A.J.[Adrian J.],
Mapping Urban Extent Using Satellite Radar Interferometry,
PhEngRS(69), No. 9, September 2003, pp. 957-962.
The high accuracy of urban mapping by ERS interferometric coherence is
demonstrated and validated in south Wales, United Kingdom.
WWW Version.
0309
BibRef
Luckman, A.J.,
Grey, W.M.F.,
Urban building height variance from multibaseline ERS coherence,
GeoRS(41), No. 9, September 2003, pp. 2022-2025.
IEEE Abstract.
0310
BibRef
Grey, W.M.F.,
Luckman, A.J.,
Holland, D.,
Mapping urban change in the UK using satellite radar interferometry,
RSE(87), No. 1, 15 September 2003, pp. 16-22.
WWW Version.
0309
BibRef
Herold, M.[Martin],
Liu, X.H.[Xiao-Hang],
Clarke, K.C.[Keith C.],
Spatial Metrics and Image Texture for Mapping Urban Land Use,
PhEngRS(69), No. 9, September 2003, pp. 991-1002.
Spatial metrics and image texture are used to describe and map the
spatial characteristics of urban land-cover objects to derive detailed
land-use information from Ikonos data.
WWW Version.
0309
BibRef
Herold, M.[Martin],
Goldstein, N.C.[Noah C.],
Clarke, K.C.[Keith C.],
The Spatiotemporal Form of Urban Growth:
Measurement, Analysis and Modeling,
RSE(86), No. 3, 15 August 2003, pp. 286-302.
WWW Version.
0309
BibRef
Liu, X.H.[Xiao-Hang],
Clarke, K.C.[Keith C.],
Herold, M.[Martin],
Population Density and Image Texture: A Comparison Study,
PhEngRS(72), No. 2, February 2006, pp. 187-196.
WWW Version. The correlation between population density and Ikonos image texture
measured by gray-level co-occurrence Matrix (GLCM), semi-variance, and
spatial metrics is compared.
0602
BibRef
Dietzel, C.[Charles],
Clarke, K.C.[Keith C.],
Decreasing Computational Time of Urban Cellular Automata Through Model
Portability,
GeoInfo(9), No. 2, June 2006, pp. 197-211.
Springer DOI Link
0605
BibRef
Clapham, Jr., W.B.,
Continuum-based classification of remotely sensed imagery to describe
urban sprawl on a watershed scale,
RSE(86), No. 3, 15 August 2003, pp. 322-340.
WWW Version.
0309
BibRef
O'Hara, C.G.,
King, J.S.,
Cartwright, J.H.,
King, R.L.,
Multitemporal land use and land cover classification of urbanized areas
within sensitive coastal environments,
GeoRS(41), No. 9, September 2003, pp. 2005-2014.
IEEE Abstract.
0310
BibRef
Nobrega, R.A.A.,
O'Hara, C.G.,
Quintanilha, J.A.,
Detecting roads in informal settlements surrounding Sao Paulo City by
using object-based classification,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Nobrega, R.A.A.,
O'Hara, C.G.,
Segmentation and object extraction from anisotropic diffusion filtered
LiDAR intensity data,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Greenhill, D.R.,
Ripke, L.T.,
Hitchman, A.P.,
Jones, G.A.,
Wilkinson, G.G.,
Characterization of suburban areas for land use planning using
landscape ecological indicators derived from Ikonos-2 multispectral
imagery,
GeoRS(41), No. 9, September 2003, pp. 2015-2021.
IEEE Abstract.
0310
BibRef
Herold, M.,
Gardner, M.E.,
Roberts, D.A.,
Spectral resolution requirements for mapping urban areas,
GeoRS(41), No. 9, September 2003, pp. 1907-1919.
IEEE Abstract.
0310
BibRef
Benediktsson, J.A.,
Pesaresi, M.,
Arnason, K.,
Classification and feature extraction for remote sensing images from
urban areas based on morphological transformations,
GeoRS(41), No. 9, September 2003, pp. 1940-1949.
IEEE Abstract.
0310
BibRef
Fauvel, M.,
Chanussot, J.,
Benediktsson, J.A.,
Decision Fusion for the Classification of Urban Remote Sensing Images,
GeoRS(44), No. 10, October 2006, pp. 2828-2838.
IEEE DOI Link
0609
BibRef
Orun, A.B.[Ahmet B.],
Automated Identification of Man-Made Textural Features on Satellite
Imagery by Bayesian Networks,
PhEngRS(70), No. 2, February 2004, pp. 211-217.
WWW Version. A classification technique which distinguishes between man-made and
natural textural features on satellite imagery by the use of textural
analyses and Bayesian networks is introduced.
0403
BibRef
Unsalan, C.,
Boyer, K.L.,
Classifying Land Development in High-Resolution Panchromatic Satellite
Images Using Straight-Line Statistics,
GeoRS(42), No. 4, April 2004, pp. 907-919.
IEEE Abstract.
0407
BibRef
Earlier:
Classifying land development in high resolution satellite images using
straight line statistics,
ICPR02(I: 127-130).
IEEE DOI Link
0211
BibRef
Unsalan, C.,
Boyer, K.L.,
A Theoretical and Experimental Investigation of Graph Theoretical
Measures for Land Development in Satellite Imagery,
PAMI(27), No. 4, April 2005, pp. 575-589.
IEEE Abstract.
0501
BibRef
Earlier:
ICPR04(II: 64-67).
IEEE DOI Link
0409
BibRef
Ünsalan, C.[Cem],
Boyer, K.L.[Kim L.],
A system to detect houses and residential street networks in
multispectral satellite images,
CVIU(98), No. 3, June 2005, pp. 423-461.
WWW Version.
0505
BibRef
Earlier:
ICPR04(III: 49-52).
IEEE DOI Link
0409
BibRef
Unsalan, C.,
Measuring Land Development in Urban Regions Using Graph Theoretical and
Conditional Statistical Features,
GeoRS(45), No. 12, December 2007, pp. 3989-3999.
IEEE DOI Link
0711
BibRef
Sirmacek, B.[Beril],
Unsalan, C.[Cem],
Using local features to measure land development in urban regions,
PRL(31), No. 10, 15 July 2010, pp. 1155-1159.
Elsevier DOI Link
WWW Version.
1008
Ikonos images; Gabor filtering; Local features; Spatial voting;
Measuring land development
BibRef
Sirmacek, B.[Beril],
Unsalan, C.[Cem],
Urban-Area and Building Detection Using SIFT Keypoints and Graph Theory,
GeoRS(47), No. 4, April 2009, pp. 1156-1167.
IEEE DOI Link
0903
BibRef
Sirmacek, B.[Beril],
Unsalan, C.[Cem],
Road Network Extraction Using Edge Detection and Spatial Voting,
ICPR10(3113-3116).
IEEE DOI Link
1008
BibRef
Sirmacek, B.[Beril],
Unsalan, C.[Cem],
A Probabilistic Framework to Detect Buildings in Aerial and Satellite
Images,
GeoRS(49), No. 1, January 2011, pp. 211-221.
IEEE DOI Link
1101
BibRef
Zeljkovic, V.,
Dorado, A.,
Izquierdo, E.,
Combining a Fuzzy Rule-Based Classifier and Illumination Invariance for
Improved Building Detection,
CirSysVideo(14), No. 11, November 2004, pp. 1277-1280.
IEEE Abstract.
0411
Edge based classification of buildings from video.
BibRef
Zeljkovic, V.[Vesna],
Tameze, C.[Claude],
Vincelette, R.[Robert],
Izquierdo, E.,
Different non-linear diffusion filters combined with triangle method
used for noise removal from polygonal shapes,
IET-IPR(4), No. 4, August 2010, pp. 313-333.
WWW Version.
1008
BibRef
Earlier: A1, A2, A3, Only:
Combined nonlinear inverse diffusion filter and triangle method used
for noise removal from polygonal shapes,
ICIP08(21-24).
IEEE DOI Link
0810
BibRef
Dorado, A.[Andres],
Izquierdo, E.[Ebroul],
Exploiting Problem Domain Knowledge for Accurate Building Image
Classification,
CIVR04(199-206).
WWW Version.
0505
BibRef
Myint, S.W.[Soe W.],
Lam, N.[Nina],
Examining Lacunarity Approaches in Comparison with Fractal and Spatial
Autocorrelation Techniques for Urban Mapping,
PhEngRS(71), No. 8, August 2005, pp. 927-938.
WWW Version.
0602
An evaluation and comparison of two lacunarity methods, fractal
triangular prism and spatial autocorrelation, and original spectral
band approaches in classifying urban images.
BibRef
Gomez-Chova, L.[Luis],
Fernández-Prieto, D.[Diego],
Calpe, J.[Javier],
Soria, E.[Emilio],
Vila, J.[Joan],
Camps-Valls, G.[Gustavo],
Urban monitoring using multi-temporal SAR and multi-spectral data,
PRL(27), No. 4, March 2006, pp. 234-243.
WWW Version.
0602
Urban monitoring; Multi-spectral; SAR; Multi-source; Feature selection
BibRef
Zandona-Schneider, R.,
Papathanassiou, K.P.,
Hajnsek, I.,
Moreira, A.,
Polarimetric and Interferometric Characterization of Coherent
Scatterers in Urban Areas,
GeoRS(44), No. 4, April 2006, pp. 971-984.
IEEE DOI Link
0604
BibRef
Matikainen, L.[Leena],
Hyyppä, J.[Juha],
Engdahl, M.[Marcus],
Mapping Built-up Areas from Multitemporal Interferometric SAR Images:
A Segment-based Approach,
PhEngRS(72), No. 6, June 2006, pp. 701-714.
WWW Version.
0610
BibRef
Earlier:
Extracting Built-Up Areas from Multitemporal Interferometric SAR Images,
PCV02(B: 170).
0305
Built-up areas were accurately detected from a multitemporal
interferometric ERS dataset using a region-based classification
approach, and a correlation between the building density and
intensity/coherence in the image was found.
BibRef
Weng, Q.[Qihao],
Lu, D.S.[Deng-Sheng],
Liang, B.Q.[Bing-Qing],
Urban Surface Biophysical Descriptors and Land Surface Temperature
Variations,
PhEngRS(72), No. 11, November 2006, pp. 1275-1286.
WWW Version.
0704
Quantitative urban surface biophysical descriptors are developed and
related to land surface temperature variations.
BibRef
Zhong, P.[Ping],
Wang, R.S.[Run-Sheng],
Using Combination of Statistical Models and Multilevel Structural
Information for Detecting Urban Areas From a Single Gray-Level Image,
GeoRS(45), No. 5, May 2007, pp. 1469-1482.
IEEE DOI Link
0704
See also Learning Conditional Random Fields for Classification of Hyperspectral Images.
BibRef
Zhong, P.[Ping],
Wang, R.S.[Run-Sheng],
A Multiple Conditional Random Fields Ensemble Model for Urban Area
Detection in Remote Sensing Optical Images,
GeoRS(45), No. 12, December 2007, pp. 3978-3988.
IEEE DOI Link
0711
BibRef
Inglada, J.[Jordi],
Automatic recognition of man-made objects in high resolution optical
remote sensing images by SVM classification of geometric image features,
PandRS(62), No. 3, August 2007, pp. 236-248.
WWW Version.
0709
Object recognition; Man-made objects; Support vector machines;
Geometrical moments
BibRef
Inglada, J.,
Michel, J.,
Qualitative Spatial Reasoning for High-Resolution Remote Sensing Image
Analysis,
GeoRS(47), No. 2, February 2009, pp. 599-612.
IEEE DOI Link
0903
BibRef
McMahon, G.[Gerard],
Consequences of Land-cover Misclassification in Models of Impervious
Surface,
PhEngRS(73), No. 12, December 2007, pp. 1343-1354.
WWW Version.
0712
An assessment of the effects of land-cover misclassification on models
that use the National Land Cover Data (NLCD) to predict impervious
surface by evaluating the consequences on model predictions of
adjusting land-cover within a watershed to reflect uncertainty
assessment information.
BibRef
Xu, H.Q.[Han-Qiu],
Extraction of Urban Built-up Land Features from Landsat Imagery Using a
Thematic-oriented Index Combination Technique,
PhEngRS(73), No. 12, December 2007, pp. 1381-1392.
WWW Version.
0712
A new method to extract urban built-up land information from Landsat
imagery based on three thematic indexes.
BibRef
Wu, C.S.[Chang-Shan],
Yuan, F.[Fei],
Seasonal Sensitivity Analysis of Impervious Surface Estimation with
Satellite Imagery,
PhEngRS(73), No. 12, December 2007, pp. 1393-1402.
WWW Version.
0712
A seasonal sensitivity analysis conducted for estimating impervious
surface distribution using spectral mixture analysis and regression
modeling.
BibRef
Yuan, F.[Fei],
Wu, C.S.[Chang-Shan],
Bauer, M.E.[Marvin E.],
Comparison of Spectral Analysis Techniques for Impervious Surface
Estimation Using Landsat Imagery,
PhEngRS(74), No. 8, August 2008, pp. 1045-1056.
WWW Version.
0804
Three common spectral analytical techniques (regression modeling,
regression tree, and normalized spectral mixture analysis) for
estimation of percent impervious surface area explored and compared in
terms of model accuracy, factors that influence model performance, and
cost of image processing.
BibRef
Wei, W.[Wang],
Xin, Y.[Yang],
Feature extraction for man-made objects segmentation in aerial images,
MVA(19), No. 1, January 2008, pp. 57-64.
Springer DOI Link
0801
BibRef
Wei, W.[Wang],
Xin, Y.[Yang],
Guo, C.[Cao],
A Multiphase Level Set Evolution Scheme for Aerial Image Segmentation
Using Multi-scale Image Geometric Analysis,
SSPR06(56-64).
Springer DOI Link
0608
BibRef
Wei, W.[Wang],
Xin, Y.[Yang],
Rapid, man-made object morphological segmentation for aerial images
using a multi-scaled, geometric image analysis,
IVC(28), No. 4, April 2010, pp. 626-633.
Elsevier DOI Link
WWW Version.
1002
Man-made object segmentation; Multi-scaled geometric image analysis;
Watershed; The non-subsampled contourlet transform
BibRef
Weng, Q.,
Hu, X.,
Medium Spatial Resolution Satellite Imagery for Estimating and Mapping
Urban Impervious Surfaces Using LSMA and ANN,
GeoRS(46), No. 8, August 2008, pp. 2397-2406.
IEEE DOI Link
0808
BibRef
Zhou, Y.Y.[Yu-Yu],
Wang, Y.Q.,
Extraction of Impervious Surface Areas from High Spatial Resolution
Imagery by Multiple Agent Segmentation and Classification,
PhEngRS(74), No. 7, July 2008, pp. 857-868.
WWW Version.
0804
An algorithm of multiple agent segmentation and classification (MASC)
to extract impervious surface areas from truecolor digital orthophoto
and spatial resolution enhanced QuickBird-2 multispectral imagery.
BibRef
Shan, J.[Jie],
Alkheder, S.[Sharaf],
Wang, J.[Jun],
Genetic Algorithms for the Calibration of Cellular Automata Urban
Growth Modeling,
PhEngRS(74), No. 10, October 2008, pp. 1267-1278.
WWW Version.
0804
Using genetic algorithms to optimize the search method for best
transition rule values.
BibRef
Alkheder, S.[Sharaf],
Shan, J.[Jie],
Calibration and Assessment of Multitemporal Imagebased Cellular
Automata for Urban Growth Modeling,
PhEngRS(74), No. 12, December 2008, pp. 1539-1550.
WWW Version.
0804
A cellular automata for urban growth modelling is designed and
calibrated spatially and temporally based on multitemporal satellite
images.
BibRef
Huang, M.J.[Ming-Jer],
Shyue, S.W.[Shiahn-Wern],
Lee, L.H.[Liang-Hwei],
Kao, C.C.[Chih-Chung],
A Knowledge-based Approach to Urban Feature Classification Using Aerial
Imagery with Lidar Data,
PhEngRS(74), No. 12, December 2008, pp. 1473-1486.
WWW Version.
0804
Applying knowledge- and segment-based vertical stratification,
rule-based classification, and aggregation schemes with
knowledge-based correction to improve the classification accuracy of
urban features
BibRef
Nghiem, S.V.,
Balk, D.,
Rodriguez, E.,
Neumann, G.,
Sorichetta, A.,
Small, C.,
Elvidge, C.D.,
Observations of urban and suburban environments with global satellite
scatterometer data,
PandRS(64), No. 4, July 2009, pp. 367-380.
Elsevier DOI Link
WWW Version.
0907
Dense sampling method; Scatterometer; Nighttime lights; Urban; Population
BibRef
Guindon, B.[Bert],
Zhang, Y.[Ying],
Automated Urban Delineation from Landsat Imagery Based on Spatial
Information Processing,
PhEngRS(75), No. 7, July 2009, pp. 845-858.
WWW Version.
0910
Proposed methods to automatically delineate urban areas on Landsat
imagery based on extracted line information.
BibRef
Karantzalos, K.[Konstantinos],
Argialas, D.[Demertre],
A Region-based Level Set Segmentation for Automatic Detection of
Man-made Objects from Aerial and Satellite Images,
PhEngRS(75), No. 6, June 2009, pp. 667-678.
WWW Version.
0910
A region-based segmentation developed, tested, and evaluated for
automatically detecting roads, buildings, and other man-made objects
from aerial and satellite images.
See also Large-Scale Building Reconstruction Through Information Fusion and 3-D Priors.
BibRef
Huang, B.[Bo],
Xie, C.[Chenglin],
Tay, R.[Richard],
Support vector machines for urban growth modeling,
GeoInfo(14), No. 1, January 2010, pp. xx-yy.
Springer DOI Link
1001
BibRef
Esch, T.,
Thiel, M.,
Schenk, A.,
Roth, A.,
Muller, A.,
Dech, S.,
Delineation of Urban Footprints From TerraSAR-X Data by Analyzing
Speckle Characteristics and Intensity Information,
GeoRS(48), No. 2, February 2010, pp. 905-916.
IEEE DOI Link
1002
See also Characterization of Land Cover Types in TerraSAR-X Images by Combined Analysis of Speckle Statistics and Intensity Information.
BibRef
Margarit, G.,
Mallorqui, J.J.,
Pipia, L.,
Polarimetric Characterization and Temporal Stability Analysis of Urban
Target Scattering,
GeoRS(48), No. 4, April 2010, pp. 2038-2048.
IEEE DOI Link
1003
BibRef
Ouma, Y.O.,
Tateishi, R.,
Sri-Sumantyo, J.T.,
Urban features recognition and extraction from very-high resolution
multi-spectral satellite imagery: A micro-macro texture determination
and integration framework,
IET-IPR(4), No. 4, August 2010, pp. 235-254.
WWW Version.
1008
BibRef
Lafarge, F.[Florent],
Gimel'Farb, G.L.[Georgy L.],
Descombes, X.[Xavier],
Geometric Feature Extraction by a Multimarked Point Process,
PAMI(32), No. 9, September 2010, pp. 1597-1609.
IEEE DOI Link
1008
BibRef
Earlier:
A Geometric Primitive Extraction Process for Remote Sensing Problems,
ACIVS08(xx-yy).
Springer DOI Link
0810
Tree crowns, building footprints, roads. Describe the image in terms
of a finite library of geometric objects.
Segments, lines, line ends, circles, rectangles, bands (||), band ends (U).
BibRef
Lafarge, F.,
Descombes, X.,
Zerubia, J.B.,
Textural Kernel for SVM Classification in Remote Sensing:
Application to Forest Fire Detection and Urban Area Extraction,
ICIP05(III: 1096-1099).
IEEE DOI Link
0512
BibRef
Mallet, C.[Clement],
Lafarge, F.[Florent],
Roux, M.,
Soergel, U.[Uwe],
Bretar, F.[Frederic],
Heipke, C.[Christian],
A Marked Point Process for Modeling Lidar Waveforms,
IP(19), No. 12, December 2010, pp. 3204-3221.
IEEE DOI Link
1011
BibRef
Earlier: A1, A2, A5, A4, A6, Only:
Lidar waveform modeling using a marked point process,
ICIP09(1713-1716).
IEEE DOI Link
0911
BibRef
Lafarge, F.[Florent],
Mallet, C.[Clement],
Building large urban environments from unstructured point data,
ICCV11(1068-1075).
IEEE DOI Link
1201
City models from unstructed point data. Building, trees and complex
surfaces.
BibRef
Mallet, C.,
Soergel, U.,
Bretar, F.,
Analysis of Full-Waveform LIDAR Data for an Accurate Classification of
Urban Areas,
ISPRS08(B3a: 85 ff).
PDF Version.
0807
BibRef
Guo, L.[Li],
Chehata, N.[Nesrine],
Mallet, C.[Clement],
Boukir, S.[Samia],
Relevance of airborne lidar and multispectral image data for urban
scene classification using Random Forests,
PandRS(66), No. 1, January 2011, pp. 56-66.
Elsevier DOI Link
WWW Version.
1101
BibRef
Earlier: A1, A2, A4, Only:
A two-pass random forests classification of airborne lidar and image
data on urban scenes,
ICIP10(1369-1372).
IEEE DOI Link
1009
Lidar; Multispectral image; Urban; Random forests; Variable importance
BibRef
Dubovyk, O.[Olena],
Sliuzas, R.[Richard],
Flacke, J.[Johannes],
Spatio-temporal modelling of informal settlement development in
Sancaktepe district, Istanbul, Turkey,
PandRS(66), No. 2, March 2011, pp. 235-246.
Elsevier DOI Link
WWW Version.
1103
Spatio-temporal analysis; Logistic regression modelling; GIS; Informal
settlements; Istanbul
BibRef
Paladini, R.,
Martorella, M.,
Berizzi, F.,
Classification of Man-Made Targets via Invariant Coherency-Matrix
Eigenvector Decomposition of Polarimetric SAR/ISAR Images,
GeoRS(49), No. 8, August 2011, pp. 3022-3034.
IEEE DOI Link
1108
BibRef
Luo, L.[Li],
Mountrakis, G.[Giorgos],
Converting local spectral and spatial information from a priori
classifiers into contextual knowledge for impervious surface
classification,
PandRS(66), No. 5, September 2011, pp. 579-587.
Elsevier DOI Link
WWW Version.
1110
Contextual classification; Hybrid classifiers; Impervious surfaces;
Landsat ETM+; Partial classification
BibRef
Kurtz, C.[Camille],
Passat, N.[Nicolas],
Gançarski, P.[Pierre],
Puissant, A.[Anne],
Extraction of complex patterns from multiresolution remote sensing images:
A hierarchical top-down methodology,
PR(45), No. 2, February 2012, pp. 685-706.
Elsevier DOI Link
WWW Version.
1110
Hierarchical segmentation; Clustering; Multisource images;
Multiresolution approaches; Binary partition trees; Remote sensing;
Urban analysis
BibRef
Weng, Q.[Qihao],
Rajasekar, U.,
Hu, X.[Xuefei],
Modeling Urban Heat Islands and Their Relationship With Impervious
Surface and Vegetation Abundance by Using ASTER Images,
GeoRS(49), No. 10, October 2011, pp. 4080-4089.
IEEE DOI Link
1110
BibRef
Lu, D.S.[Deng-Sheng],
Li, G.[Guiying],
Moran, E.[Emilio],
Batistella, M.[Mateus],
Freitas, C.C.[Corina C.],
Mapping impervious surfaces with the integrated use of Landsat Thematic
Mapper and radar data: A case study in an urban-rural landscape in the
Brazilian Amazon,
PandRS(66), No. 6, November 2011, pp. 798-808.
Elsevier DOI Link
WWW Version.
1112
Landsat TM; ALOS PALSAR L-band; RADARSAT-2 C-band; Wavelet-merging
technique; Spectral mixture analysis; Impervious surface
BibRef
Kuang, G.[Guodan],
Wang, W.[Weian],
Qiao, G.[Gang],
Impervious Surface Information Extraction Using an Improved
Object-Oriented Method,
ISIDF11(1-4).
IEEE DOI Link
1111
BibRef
Shi, B.Q.[Bei-Qi],
Liu, C.[Chun],
Sun, W.W.[Wei-We],
Wu, H.B.[Hang-Bin],
Residential Area Recognition Using Oscillatory Correlation Segmentation
of Hyperspectral Imagery,
ISIDF11(1-4).
IEEE DOI Link
1111
BibRef
Issa, S.M.,
Al Shuwaihi, A.,
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Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
General Site Model Use, Program Surveys .