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Journal of Applied Remote Sensing

Unsupervised polarimetric synthetic aperture radar classification of large-scale landslides caused by Wenchuan earthquake in hue-saturation-intensity color space
Author(s): Ning Li; Robert Wang; Yunkai Deng; Yabo Liu; Bochen Li; Chunle Wang; Timo Balz
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Paper Abstract

A simple and effective approach for unsupervised classification of large-scale landslides caused by the Wenchuan earthquake is developed. The data sets used were obtained by a high-resolution fully polarimetric airborne synthetic aperture radar system working at X-band. In the proposed approach, Pauli decomposition false-color RGB imagery is first transformed to the hue-saturation-intensity (HSI) color space. Then, a good combination of k-means clustering and HSI imagery in different channels is used stage-by-stage for automatic landslides extraction. Two typical case studies are presented to evaluate the feasibility of the proposed scheme. Our approach is an important contribution to the rapid assessment of landslide hazards.

Paper Details

Date Published: 7 July 2014
PDF: 9 pages
J. Appl. Remote Sens. 8(1) 083595 doi: 10.1117/1.JRS.8.083595
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Ning Li, Institute of Electronics (China)
Univ. of the Chinese Academy of Sciences (China)
Robert Wang, Institute of Electronics (China)
Yunkai Deng, Institute of Electronics (China)
Yabo Liu, Institute of Electronics (China)
Bochen Li, Institute of Electronics (China)
Chunle Wang, Institute of Electronics (China)
Timo Balz, Wuhan Univ. (China)

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