Research on Faults Extraction Method Based on Multi-Source Remote Sensing Data: A Case of Central Water Source Area of the Middle Route of South-to-North Water Diversion Project
Abstract In this paper, multi-source remote sensing data are used to study the method of faults extraction, taking the central water source area of middle route of south-to-north water diversion project as an example. The multi-source remote sensing data includes medium-resolution optical images, high-resolution optical images, SAR images and DEM. In order to make full use of the penetration capability, spectral information and spatial geometry of the multi-source remote sensing data, the image enhancement, image fusion and three-dimensional terrain analysis, etc. are used to highlight the image flag of the faults. By the interpretation of multi-source remote sensing data and the field survey, the geometric distribution of the three major faults in the target zone are identified. It provides the reference for active fault detection and seismic hazard assessment in this area.
LI Xue,LIU Xiaoli,WANG Qiuliang et al. Research on Faults Extraction Method Based on Multi-Source Remote Sensing Data: A Case of Central Water Source Area of the Middle Route of South-to-North Water Diversion Project[J]. jgg, 2017, 37(2): 132-136.
LI Xue,LIU Xiaoli,WANG Qiuliang et al. Research on Faults Extraction Method Based on Multi-Source Remote Sensing Data: A Case of Central Water Source Area of the Middle Route of South-to-North Water Diversion Project[J]. jgg, 2017, 37(2): 132-136.
