22.2.4 General Urban Area Detection

Chapter Contents (Back)
Aerial Image Analysis.

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.
HTML Version. 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
HTML Version. 0009
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Borghys, D., Lacroix, V., Perneel, C.,
Edge and line detection in polarimetric SAR images,
ICPR02(II: 921-924).
IEEE DOI Link 0211
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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. IEEE Top Reference. 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. IEEE Top Reference. 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. IEEE Top Reference. 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. IEEE Top Reference. 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. IEEE Top Reference. 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. IEEE Top Reference. 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. IEEE Top Reference. 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. IEEE Top Reference. 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., Unsalan, C.,
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

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. IEEE Top Reference. 0411
Edge based classification of buildings from video. BibRef

Zeljkovic, V.[Vesna], Tameze, C.[Claude], Vincelette, R.[Robert],
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
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

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. BibRef


Chehata, N.[Nesrine], Guo, L.[Li], Mallet, C.[Clément],
Airborne Lidar feature Selection for urban classification using random forests,
Laser09(207). 0909
BibRef

Mancini, A.[Adriano], Frontoni, E.[Emanuele], Zingaretti, P.,
Automatic Extraction of Urban Objects from Multi-Source Aerial Data,
CMRT09(13-18).
PDF Version. 0909
BibRef

Farinella, G.M.[Giovanni Maria], Battiato, S.[Sebastiano], Gallo, G.[Giovanni], Cipolla, R.[Roberto],
Natural Versus Artificial Scene Classification by Ordering Discrete Fourier Power Spectra,
SSPR08(137-146).
Springer DOI Link 0812
BibRef

Shandiz, H.T., Mirhassani, S.M., Yousefi, B.,
Hierarchical method for building extraction in urban area's images using unsharp masking [USM] and Bayesian classifier,
WSSIP08(193-196).
IEEE DOI Link 0806
BibRef

Bouakache, A.[Abdenour], Khedam, R.[Radja], Belhadj-Aissa, A.[Aichouche], Mercier, G.[Grégoire],
A Generalized Appriou's Model for Evidential Classification of Multispectral Images: A Case Study of Algiers City,
ACIVS08(xx-yy).
Springer DOI Link 0810
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

Xi, L.[Li], Zequn, G.[Guan], Tiyan, S.[Shen],
Extract Profile of Urbanized Area in Beijing Assisted by Skewness,
ISPRS08(B3b: 463 ff).
PDF Version. 0807
BibRef

Kampouraki, M., Wood, G.A., Brewer, T.,
The application of remote sensing to identify and measure sealed areas in urban environments,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Jacquin, A., Misakova, L., Gay, M.,
The potential use of very high spatial resolution data and object-based classification for mapping urban sprawl,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Hofmann, P., Strobl, J., Blaschke, T., Kux, H.,
Detecting informal settlements from QuickBird data in Rio de Janeiro using an object based approach,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Marchesi, A., Colombo, R., Valentini, P.,
Application of high spatial resolution satellite imagery for urban environment mapping,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Madden, M., Jordan, T., Kim, M.,
Object-based segmentation of cultural and natural landscapes using landscape models to derive contextual classification,
OBIA06(xx-yy).
PDF Version. 0607
BibRef

Fritz, G.[Gerald], Seifert, C.[Christin], Paletta, L.[Lucas],
A Mobile Vision System for Urban Detection with Informative Local Descriptors,
CVS06(30).
IEEE DOI Link 0602
Urban objects from mobile phone images for tourist services. BibRef

Fritz, G.[Gerald], Seifert, C.[Christin], Kumar, M.[Manish], Paletta, L.[Lucas],
Building Detection from Mobile Imagery Using Informative SIFT Descriptors,
SCIA05(629-638).
Springer DOI Link 0506
BibRef

Lafarge, F.[Florent], Gimel'farb, G.L.[Georgy L.], Descombes, X.[Xavier],
A Geometric Primitive Extraction Process for Remote Sensing Problems,
ACIVS08(xx-yy).
Springer DOI Link 0810
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

Wang, W.[Wei], Yang, X.[Xin], Chen, S.S.[Shou-Shui],
A Kernel Matching Pursuit Approach to Man-Made Objects Detection in Aerial Images,
IbPRIA07(II: 507-514).
Springer DOI Link 0706
BibRef

Cao, G.[Guo], Yang, X.[Xin], Zhou, D.[Dake],
Mumford-Shah Model Based Man-Made Objects Detection from Aerial Images,
ScaleSpace05(386-395).
WWW Version. 0505
BibRef

Kumar, S., Hebert, M.,
Man-made structure detection in natural images using a causal multiscale random field,
CVPR03(I: 119-126).
IEEE Abstract. IEEE Top Reference. 0307
BibRef

Straub, B.M.[Bernd-Michael], Gerke, M.[Markus], Pahl, M.[Martin],
Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System,
CVS03(355 ff).
HTML Version. 0306
BibRef

Gerke, M.[Markus],
Scene Analysis in Urban Areas Using a Knowledge-Based Interpretation-System,
PCV02(B: 63). 0305
BibRef

Jiang, Q.,
Automatic Extraction of Urban Regions from Multispectral SPOT Satellite Imagery,
ICIP00(Vol II: 728-731).
IEEE Abstract. IEEE Top Reference. 0008
BibRef

Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
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Last update:Nov 16, 2009 at 19:35:14