Abstract:In a seismic area, the accurate identification of the surface fault zone can provide basic data for geological and seismic disaster prediction. In this paper, the recognition of the buried section of a surface fault is studied using the ant colony algorithm. Based on remote sensing image and aerial survey data, the terrain, geomorphological elements, and other elements are obtained. The improved shortest diagonal method is used to extract the image feature of the fault surface. All the triangular patches of the fault zone are matched and connected into tetrahedral in turn; then, the ant colony algorithm is used to carry out the spatial identification of the surface buried fault. Taking the Jiuzhaigou scenic spot as a case study, we discuss the fault identification of Jiuzhaigou earthquake in 2017. It is considered that this method can be used as a reference for the auxiliary identification of surface faults. Meanwhile, the proposed method is analyzed and compared with the other two identification methods.