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Proceedings Paper

Urban-area extraction from polarimetric SAR image using combination of target decomposition and orientation angle
Author(s): Bin Zou; Da Lu; Zhilu Wu; Zhijun G. Qiao
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Paper Abstract

The results of model-based target decomposition are the main features used to discriminate urban and non-urban area in polarimetric synthetic aperture radar (PolSAR) application. Traditional urban-area extraction methods based on modelbased target decomposition usually misclassified ground-trunk structure as urban-area or misclassified rotated urbanarea as forest. This paper introduces another feature named orientation angle to improve urban-area extraction scheme for the accurate mapping in urban by PolSAR image. The proposed method takes randomness of orientation angle into account for restriction of urban area first and, subsequently, implements rotation angle to improve results that oriented urban areas are recognized as double-bounce objects from volume scattering. ESAR L-band PolSAR data of the Oberpfaffenhofen Test Site Area was used to validate the proposed algorithm.

Paper Details

Date Published: 12 May 2016
PDF: 7 pages
Proc. SPIE 9829, Radar Sensor Technology XX, 98291Q (12 May 2016); doi: 10.1117/12.2228689
Show Author Affiliations
Bin Zou, Harbin Institute of Technology (China)
Da Lu, Harbin Institute of Technology (China)
Zhilu Wu, Harbin Institute of Technology (China)
Zhijun G. Qiao, The Univ. of Texas Rio Grande Valley (United States)


Published in SPIE Proceedings Vol. 9829:
Radar Sensor Technology XX
Kenneth I. Ranney; Armin Doerry, Editor(s)

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