Remote Sensing Landslide Hazard Risk Analysis Based on Attention Fusion

As one of the most serious geologic disasters, landslides cause great losses to human lives and properties, so the reliable and timely identification of landslide hazards is of great social and economic significance. In this paper, by adding the attention fusion remote sensing image landslide identification method, using PS-InSAR and SBAS-InSAR two kinds of time series InSAR technology to extract the surface deformation information in the study area, combined with the results of the time series deformation of the algorithm identified in this paper for the risk assessment of landslide potential points, focusing on the analysis of the northern part of the village of Wenbao in Lund County, the western part of the village of Guanglian landslide potential areas, and the use of time series deformation curve quantitatively describe the landslide potential areas. With the help of time series deformation curves, the deformation of the landslide hazardous areas is quantitatively described, which provides a new idea for the identification and risk analysis of landslide hazards.