Unsupervised polarimetric synthetic aperture radar classification of large-scale landslides caused by Wenchuan earthquake in hue-saturation-intensity color space

Ning Li; Robert Wang; Yunkai Deng; Yabo Liu; Bochen Li; Chunle Wang; Timo Balz

doi:10.1117/1.JRS.8.083595

7 July 2014 Unsupervised polarimetric synthetic aperture radar classification of large-scale landslides caused by Wenchuan earthquake in hue-saturation-intensity color space

Ning Li, Robert Wang, Yunkai Deng, Yabo Liu, Bochen Li, Chunle Wang, Timo Balz

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 8, Issue 1, 083595 (July 2014). https://doi.org/10.1117/1.JRS.8.083595

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.

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Ning Li, Robert Wang, Yunkai Deng, Yabo Liu, Bochen Li, Chunle Wang, and Timo Balz "Unsupervised polarimetric synthetic aperture radar classification of large-scale landslides caused by Wenchuan earthquake in hue-saturation-intensity color space," Journal of Applied Remote Sensing 8(1), 083595 (7 July 2014). https://doi.org/10.1117/1.JRS.8.083595

Published: 7 July 2014

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