MINE DETECTION METHOD BASED ON INTENSITY AND PHASE INFORMATION USING MULTI-TEMPORAL ALOS DATA

Abstract

Long-term continuous monitoring of coal mining activities is conducive to master the development and potential risk factors of the mining area. Radar reflected echo signal contains the intensity and phase information, which is suitable for detecting different types of mining areas. However, relevant coal mining detection research mainly focuses on phase information, which results in the application based on underground coal mines more than open-pit coal mines. In order to take full advantage of Synthetic Aperture Radar (SAR) data, in this paper, a novel mine detection method based on intensity and phase information is introduced to detect the underground and open pit coal mine using the multi-temporal ALOS data in Shenmu County, China. Firstly, Interferometric SAR (InSAR) technology is used to detect the deformation information caused by underground coal mine. Secondly, the coherence information is used to detect the deformation from both underground and open-pit coal mine. Moreover, change detection method based on intensity information is used to detect the open-pit coal mining. Finally, the results of phase, coherence and intensity are combined to detect the underground and open-pit coal mine. The experimental results of Shengdong mine show the effectiveness of the proposed method.