Affiliations: Chongqing Three Gorges University, College of Electronic and Information Engineering, Wanzhou, Chongqing 404100, China
Correspondence:
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Corresponding author: Xing Zou, Chongqing Three Gorges University, College of Electronic and Information Engineering, Wanzhou, Chongqing 404100, China. E-mail: [email protected].
Abstract: With the continuous development of synthetic aperture radar technology, the application of SAR image data in landslide hazard information extraction has received attention and achieved some results. In this paper, the grayscale texture information features of SAR images after landslide disasters are combined with the expectation maximization algorithm to extract landslide information. The optimal threshold is calculated using the expectation maximization algorithm, and the image is divided into a landslide area and a non-landslide area.In this paper, the method is applied to Radarsat-2 SAR data in Yingxiu area after Wenchuan earthquake to obtain the distribution of landslide results. The method is also applied to other areas of the image for landslide extraction, and the correctness of the results is judged by comparing with the field measurement data and optical image analysis. Due to the particularity of the landslide, the method still needs further improvement in accuracy. The extraction results need further research in verification, so the method is not very good at present. Improvement needs further improvement.
Keywords: SAR image, landslide hazard, disaster information extraction
