Remote Sensing and Data Fusion Over Urban Areas
IEEE, Jan 1, 2003 - Cities and towns - 308 pages
This text covers topics including: new observation capabilities for urban areas; potential of multispectral/hyperspectral data for urban application; SAR data in urban areas; building extraction and characterization; data fusion over urban areas; and urban modelling and reconstruction.
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Spectral interpretation based on multisensor fusion for urban mapping B Csatho T Schenk
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Different processing techniques to analyze high resolution hyperspectral data of urban areas
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accuracy aerial images airborne algorithm analysis angle applied approach automatic backscattering band building change detection classes classification clustering computed corresponding data fusion data set deformation density developed DIFSAR digital surface model e-mail edge ERS2 estimation evaluation Figure function geocoding geometric height high resolution hyperspectral identified IEEE IKONOS IKONOS image imagery input InSAR interferometric land cover Landsat laser layover LIDAR line segments measurements monitoring multispectral images neural network objects obtained panchromatic parameters performed phase Photogrammetry pixels points polarimetric polygon QuickBird radar RADARSAT RADARSAT-1 radiometric range region Remote Sensing resolution images road extraction road network roof SAR data SAR images satellite images scale scattering scene sensor shadow signal simulation space spatial resolution spectral statistical structures study area supervised classification surface techniques terrain TerraSAR-X threshold transformation urban areas UrbEx values vector vegetation vehicle visual wavelet