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

Author

Jin, Ya-Qiu ; Wang, Dafang

Author_Institution

Key Lab. of Wave Scattering & Remote Sensing Inf., Fudan Univ., Shanghai

Volume

6

Issue

2

fYear

2009

fDate

4/1/2009 12:00:00 AM

Firstpage

344

Lastpage

348

Abstract

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.

Keywords

Markov processes; earthquakes; geophysical techniques; geophysics computing; image classification; object detection; remote sensing by radar; synthetic aperture radar; 2EM-MRF Method; AD 2008 05; ALOS; Advanced land observing Satellite; Beichuan area; China; Google Earth; Markov random field; PALSAR image; Phased Array type L-band Synthetic Aperture Radar; Wenchuan Earthquake; automatic detection method; expectation-maximization method; image classification; optical photograph; terrain surface change detection; Detection; earthquake; surface change; synthetic aperture radar (SAR) image;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2009.2013875

Filename

4796325