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

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.

[1]  Ya-Qiu Jin,et al.  Theory and Approach of Information Retrievals from Electromagnetic Scattering and Remote Sensing , 2005 .

[2]  Pramod K. Varshney,et al.  An image change detection algorithm based on Markov random field models , 2002, IEEE Trans. Geosci. Remote. Sens..

[3]  Jun Zhang,et al.  Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation , 1994, IEEE Trans. Image Process..

[4]  Knut Conradsen,et al.  CFAR edge detector for polarimetric SAR images , 2003, IEEE Trans. Geosci. Remote. Sens..

[5]  Jakob J. van Zyl,et al.  Change detection techniques for ERS-1 SAR data , 1993, IEEE Trans. Geosci. Remote. Sens..

[6]  H. Takajo,et al.  Least-squares phase estimation from the phase difference , 1988 .

[7]  Lorenzo Bruzzone,et al.  Automatic analysis of the difference image for unsupervised change detection , 2000, IEEE Trans. Geosci. Remote. Sens..

[8]  Eric Pottier,et al.  A review of target decomposition theorems in radar polarimetry , 1996, IEEE Trans. Geosci. Remote. Sens..

[9]  M. Ridd,et al.  A Comparison of Four Algorithms for Change Detection in an Urban Environment , 1998 .

[10]  J. Besag.  On the Statistical Analysis of Dirty Pictures , 1986 .

[11]  J. Besag.  Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .

[12]  Ya-Qiu Jin,et al.  Deorientation theory of polarimetric scattering targets and application to terrain surface classification , 2005, IEEE Trans. Geosci. Remote. Sens..

[13]  Louis A. Romero,et al.  Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods , 1994 .

[14]  Ashbindu Singh,et al.  Review Article Digital change detection techniques using remotely-sensed data , 1989 .

[15]  T. Moon.  The expectation-maximization algorithm , 1996, IEEE Signal Process. Mag..

[16]  R. Redner,et al.  Mixture densities, maximum likelihood, and the EM algorithm , 1984 .