Automatic Detection of Terrain Surface Changes After Wenchuan Earthquake, May 2008, From ALOS SAR Images Using 2EM-MRF Method

被引:28
|
作者
Jin, Ya-Qiu [1 ]
Wang, Dafang [1 ]
机构
[1] Fudan Univ, Key Lab Wave Scattering & Remote Sensing Informat, Shanghai 200433, Peoples R China
基金
美国国家科学基金会;
关键词
Detection; earthquake; synthetic aperture radar (SAR) image; surface change;
D O I
10.1109/LGRS.2009.2013875
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A method of two-threshold expectation maximum and Markov random field is presented to automatic detection of terrain surface changes after the Wenchuan earthquake, on May 12, 2008, using multitemporal ALOS PALSAR images. As an example in the Beichuan area, three kinds of, terrain surface changes, i.e., scattering enhanced, reduced, and no-changed, are automatically detected and classified. By using the tool of Google Earth, the surface change situation after the earthquake can be shown in multiazimuth views as an animated cartoon. The detection and classification are also compared with optical photographs.
引用
收藏
页码:344 / 348
页数:5
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