Automatic landslide and mudflow detection method via multichannel sparse representation

Chen Chao; Jianjun Zhou; Zhuo Hao; Bo Sun; Jun He; Fengxiang Ge

doi:10.1117/12.2194239

20 October 2015 Automatic landslide and mudflow detection method via multichannel sparse representation

Chen Chao, Jianjun Zhou, Zhuo Hao, Bo Sun, Jun He, Fengxiang Ge

Proceedings Volume 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI; 96441J (2015) https://doi.org/10.1117/12.2194239
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Landslide and mudflow detection is an important application of aerial images and high resolution remote sensing images, which is crucial for national security and disaster relief. Since the high resolution images are often large in size, it’s necessary to develop an efficient algorithm for landslide and mudflow detection. Based on the theory of sparse representation and, we propose a novel automatic landslide and mudflow detection method in this paper, which combines multi-channel sparse representation and eight neighbor judgment methods. The whole process of the detection is totally automatic. We make the experiment on a high resolution image of ZhouQu district of Gansu province in China on August, 2010 and get a promising result which proved the effective of using sparse representation on landslide and mudflow detection.

Citation Download Citation

Chen Chao, Jianjun Zhou, Zhuo Hao, Bo Sun, Jun He, and Fengxiang Ge "Automatic landslide and mudflow detection method via multichannel sparse representation", Proc. SPIE 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI, 96441J (20 October 2015); https://doi.org/10.1117/12.2194239

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