Research Papers

Analysis of geometric property of building double-reflection in high-resolution SAR images and its application to height retrieval

[+] Author Affiliations
Hongzhen Chen

Chinese Academy of Sciences, Institute of Electronics, East Road, Zhongguanchun, Beijing 100190, China

Yueting Zhang

Chinese Academy of Sciences, Institute of Electronics, East Road, Zhongguanchun, Beijing 100190, China

Hongqi Wang

Chinese Academy of Sciences, Institute of Electronics, Key Laboratory of Technology in Geo-spatial Information Processing and Application System, No. 19, North 4th Ring Road West, Haidian District, Beijing 100190, China

Chibiao Ding

Chinese Academy of Sciences, Institute of Electronics, East Road, Zhongguanchun, Beijing 100190, China

J. Appl. Remote Sens. 6(1), 063555 (Sep 20, 2012). doi:10.1117/1.JRS.6.063555
History: Received December 28, 2011; Revised May 15, 2012; Accepted June 21, 2012
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Abstract.  A novel height-retrieval method of individual urban structure from high-resolution (HR) synthetic aperture radar (SAR) images is presented based on the geometric property of the double-bounce contribution. The double-bounce contributions caused by the interaction of the visible walls and the surrounding ground are the key features of urban structure. Their scattering distributions and geometric properties are analyzed, a set of geometric models is built, and then a building-height retrieval approach based on these models is proposed. An analysis of the sensitiveness of the height retrieval to errors on the sensor system, building, and measured parameters is performed. The validity and superiority of the proposed approach are demonstrated by four simulation examples, two real very high-resolution MiniSAR examples, and four real HR TerraSAR-X examples.

© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Hongzhen Chen ; Yueting Zhang ; Hongqi Wang and Chibiao Ding
"Analysis of geometric property of building double-reflection in high-resolution SAR images and its application to height retrieval", J. Appl. Remote Sens. 6(1), 063555 (Sep 20, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.063555


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