The invention relates to the technical field of image semantic segmentation, in particular to an intelligent
landslide identification method based on multi-source
remote sensing image fusion. Comprising the following steps: calculating a gradient matrix and a
water flow convergence index based on a
digital elevation model, searching and determining a physical prior interval of cohesive force and an
internal friction angle based on geological
lithology data, and constructing an input
tensor; extracting a surface
semantic feature map of the
optical image by using
visual perception branches through a double-
branch coupling network; based on a physical prior interval, mapping branches by using physical parameters, and carrying out nonlinear mapping to obtain a limited rock-soil mechanical parameter diagram; and calling a micro infinite
slope stability layer, executing forward derivable calculation based on a limit equilibrium equation, generating a
slope stability coefficient field, constructing physical attention gating, executing
Hadamard product operation, and generating a
semantic feature tensor. Through deep
coupling integration and collaborative optimization of the
visual perception branch and the physical parameter mapping
branch, the true effectiveness of the obtained position data is ensured.