The influence of urban structures on impervious surface maps from airborne hyperspectral data.

[1]  J. R. Jensen,et al.  Remote Sensing of Urban/Suburban Infrastructure and Socio‐Economic Attributes , 2011 .

[2]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[3]  D. Roberts,et al.  Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) of hyperspectral imagery for urban environments , 2009 .

[4]  Hermann Kaufmann,et al.  Comparison of Multi- and Hyperspectral Remote Sensing Data for Use in Comprehensive Urban Biotope Mapping , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[5]  Hermann Kaufmann,et al.  Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data , 2007 .

[6]  Paolo Gamba,et al.  Improved VHR Urban Area Mapping Exploiting Object Boundaries , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[7]  M. Alberti,et al.  The impact of urban patterns on aquatic ecosystems: An empirical analysis in Puget lowland sub-basins , 2007 .

[8]  S. Pickett,et al.  Spatial heterogeneity in urban ecosystems: reconceptualizing land cover and a framework for classification , 2007 .

[9]  D. Quattrochi,et al.  Urban Remote Sensing , 2006 .

[10]  Paolo Gamba,et al.  Spectral Resolution in the Context of Very High Resolution Urban Remote Sensing , 2006 .

[11]  Giles M. Foody,et al.  The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM , 2006 .

[12]  Paul M. Mather,et al.  Some issues in the classification of DAIS hyperspectral data , 2006 .

[13]  Manfred Ehlers,et al.  Automated Techniques for Environmental Monitoring and Change Analyses for Ultra High Resolution Remote Sensing Data , 2006 .

[14]  Patrick Hostert,et al.  Correcting brightness gradients in hyperspectral data from urban areas , 2006 .

[15]  Weirong Chen,et al.  A comprehensive study on urban true orthorectification , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[16]  J. Nichol,et al.  Modeling urban environmental quality in a tropical city , 2005 .

[17]  Hermann Kaufmann,et al.  Spectroradiometric requirements for the reflective module of the airborne spectrometer ARES , 2005, IEEE Geoscience and Remote Sensing Letters.

[18]  Craig A. Stow,et al.  PATTERNS OF WATERSHED URBANIZATION AND IMPACTS ON WATER QUALITY 1 , 2005 .

[19]  M. Alberti.  The Effects of Urban Patterns on Ecosystem Function , 2005 .

[20]  Stephan Pauleit,et al.  Modeling the environmental impacts of urban land use and land cover change—a study in Merseyside, UK , 2005 .

[21]  Johannes R. Sveinsson,et al.  Classification of hyperspectral data from urban areas based on extended morphological profiles , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[22]  C. Small,et al.  A global analysis of urban reflectance , 2005 .

[23]  Lorenzo Bruzzone,et al.  Classification of hyperspectral remote sensing images with support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[24]  Tim D Fletcher,et al.  The Influence of Urban Density and Drainage Infrastructure on the Concentrations and Loads of Pollutants in Small Streams , 2004, Environmental management.

[25]  Jon Atli Benediktsson,et al.  Foreword to the special issue on urban remote sensing by satellite , 2003, IEEE Trans. Geosci. Remote. Sens..

[26]  Martin Herold,et al.  Spectral resolution requirements for mapping urban areas , 2003, IEEE Trans. Geosci. Remote. Sens..

[27]  J. A. Tullis,et al.  Synergistic Use of Lidar and Color Aerial Photography for Mapping Urban Parcel Imperviousness , 2003 .

[28]  Chad Hendrix,et al.  A Comparison of Urban Mapping Methods Using High-Resolution Digital Imagery , 2003 .

[29]  K. Seto,et al.  Comparing ARTMAP Neural Network with the Maximum-Likelihood Classifier for Detecting Urban Change , 2003 .

[30]  Toby N. Carlson,et al.  Applications of remote sensing to urban problems , 2003 .

[31]  C. Small,et al.  Cities from space: potential applications of remote sensing in urban environmental research and policy , 2003 .

[32]  Daniel Schläpfer,et al.  Geo-atmospheric processing of airborne imaging spectrometry data. Part 1: Parametric orthorectification , 2002 .

[33]  R. Richter,et al.  Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: Atmospheric/topographic correction , 2002 .

[34]  L. S. Davis,et al.  An assessment of support vector machines for land cover classi(cid:142) cation , 2002 .

[35]  Hermann Kaufmann,et al.  Automated differentiation of urban surfaces based on airborne hyperspectral imagery , 2001, IEEE Trans. Geosci. Remote. Sens..

[36]  Toby N. Carlson,et al.  The impact of land use — land cover changes due to urbanization on surface microclimate and hydrology: a satellite perspective , 2000 .

[37]  Russell G. Congalton,et al.  Assessing the accuracy of remotely sensed data : principles and practices , 1998 .

[38]  Christopher J. C. Burges,et al.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.

[39]  C. Arnold,et al.  IMPERVIOUS SURFACE COVERAGE: THE EMERGENCE OF A KEY ENVIRONMENTAL INDICATOR , 1996 .

[40]  R. Blair.  Land Use and Avian Species Diversity Along an Urban Gradient , 1996 .

[41]  Alexandra Damm,et al.  Hybrides Kartierungsverfahren der Bodenversiegelung im urbanen Raum – das Ergebnis für Berlin , 2008 .

[42]  Patrick Hostert,et al.  Classifying segmented hyperspectral data from a heterogeneous urban environment using support vector machines , 2007 .

[43]  Chris G. Collier,et al.  The impact of urban areas on weather , 2006 .

[44]  Jiann-Yeou Rau,et al.  True orthophoto generation of built-up areas using multi-view images , 2002 .