Measuring Detailed Urban Vegetation with Multisource High-Resolution Remote Sensing Imagery for Environmental Design and Planning
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Weimin Li | John Radke | Desheng Liu | Peng Gong | P. Gong | Desheng Liu | J. Radke | Weimin Li
[1] Athanassios Ganas,et al. An investigation into the spatial accuracy of the IKONOS 2 orthoimagery within an urban environment , 2002 .
[2] D. Lu,et al. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies , 2004 .
[3] Y. Yamaguchi,et al. Estimation of storage heat flux in an urban area using ASTER data , 2007 .
[4] Alexandre Carleer,et al. Assessment of Very High Spatial Resolution Satellite Image Segmentations , 2005 .
[5] P. Gong,et al. Automatic Registration of Airborne Images with Complex Local Distortion , 2006 .
[6] Baba C. Vemuri,et al. Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Curt H. Davis,et al. A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas , 2003, IEEE Trans. Geosci. Remote. Sens..
[8] Volker C. Radeloff,et al. Exploring the Spatial Relationship Between Census and Land-Cover Data , 2000 .
[9] M. Bauer,et al. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing , 2005 .
[10] George Xian,et al. Assessments of urban growth in the Tampa Bay watershed using remote sensing data , 2005 .
[11] Timothy F. Cootes,et al. Active Appearance Models , 1998, ECCV.
[12] C. M. Lee,et al. Urban vegetation monitoring in Hong Kong using high resolution multispectral images , 2005 .
[13] C. Small,et al. Estimation and vicarious validation of urban vegetation abundance by spectral mixture analysis , 2006 .
[14] Hermann Kaufmann,et al. Automated differentiation of urban surfaces based on airborne hyperspectral imagery , 2001, IEEE Trans. Geosci. Remote. Sens..
[15] C. Elvidge,et al. Spatial analysis of global urban extent from DMSP-OLS night lights , 2005 .
[16] J. Nichol,et al. Remote sensing of urban vegetation life form by spectral mixture analysis of high‐resolution IKONOS satellite images , 2007 .
[17] M. Herold,et al. Spatial Metrics and Image Texture for Mapping Urban Land Use , 2003 .
[18] Christopher Small,et al. Analysis of Urban Land Cover and Population Density in the United States , 2005 .
[19] Ramanathan Sugumaran,et al. The use of high-resolution imagery for identification of urban climax forest species using traditional and rule-based classification approach , 2003, IEEE Trans. Geosci. Remote. Sens..
[20] Timothy F. Cootes,et al. Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[21] S. Franklin,et al. OBJECT-BASED ANALYSIS OF IKONOS-2 IMAGERY FOR EXTRACTION OF FOREST INVENTORY PARAMETERS , 2006 .
[22] S. Ustin,et al. Using AVIRIS data and multiple-masking techniques to map urban forest tree species , 2004 .
[23] Soe W. Myint,et al. Urban vegetation mapping using sub‐pixel analysis and expert system rules: A critical approach , 2006 .
[24] D. Lu,et al. Spectral Mixture Analysis of the Urban Landscape in Indianapolis with Landsat ETM+ Imagery , 2004 .
[25] P. Gong,et al. Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery , 2006 .
[26] M. Ramsey,et al. Monitoring urban land cover change: An expert system approach to land cover classification of semiarid to arid urban centers , 2001 .
[27] P. Gong,et al. Land-use/land-cover change detection using improved change-vector analysis , 2003 .
[28] U. Benz,et al. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information , 2004 .
[29] Curt H. Davis,et al. A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas , 2003, IEEE Trans. Geosci. Remote. Sens..
[30] Peng Gong. Photo Ecometrics for Natural Resource Monitoring , 2002 .
[31] Roberto Brunelli,et al. Face Recognition: Features Versus Templates , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[32] N. Coops,et al. Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications. , 2009 .
[33] C. Lo,et al. Integration of landsat thematic mapper and census data for quality of life assessment , 1997 .
[34] C. Small. Estimation of urban vegetation abundance by spectral mixture analysis , 2001 .
[35] J. Briggs,et al. An Object-oriented Approach to Urban Forest Mapping in Phoenix , 2007 .
[36] Corinna Gries,et al. Estimating vegetation cover in an urban environment based on Landsat ETM+ imagery: A case study in Phoenix, USA , 2007 .
[37] S. M. Jong,et al. The Importance of Scale in Object-based Mapping of Vegetation Parameters with Hyperspectral Imagery , 2007 .
[38] Martin Herold,et al. Spectral resolution requirements for mapping urban areas , 2003, IEEE Trans. Geosci. Remote. Sens..
[39] Christiane Weber,et al. Some urban measurements from SPOT data: urban life quality indices , 1992 .