Title :
Identification and characterization of urban structures using VHR SAR data
Author :
Esch, Thomas ; Schmidt, Martin ; Breunig, Markus ; Felbier, Andreas ; Taubenböck, Hannes ; Heldens, Wieke ; Riegler, Christian ; Roth, Achim ; Dech, Stefan
Author_Institution :
German Remote Sensing Data Center, German Aerosp. Center, Wessling, Germany
Abstract :
The global process of urbanization is associated with various ecological, social and economic changes in both the built-up area and the adjacent natural or cultivated landscape. To manage the effects and impacts of this development, effective urban and regional planning requires accurate and up to date information on the urban dynamics. This paper introduces a methodology to automatically detect human settlements and then further characterize the identified built up areas in terms of the building density based on VHR SAR data. The SAR imagery is acquired by the German satellite system TerraSAR-X. Regarding the delineation of the built-up area in the region of Munich we achieved an overall accuracy of 94 % and a Kappa of 0.86. The estimation of building density showed a coefficient of determination (r2) of up to 0.74. The mean absolute error of the modeled building densities was 5%.
Keywords :
building management systems; geophysical image processing; object detection; radar imaging; regional planning; remote sensing by radar; synthetic aperture radar; town and country planning; German satellite system TerraSAR-X; SAR imagery; VHR SAR data; building density estimation; coefficient of determination; human settlement automatic detection; mean absolute error; regional planning; urban planning; urban structure characterization; Backscatter; Buildings; Cities and towns; Computed tomography; Estimation; Speckle; Urban areas; TerraSAR-X; building density; detection; texture; urban;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049331