Research on Quality Improvement Method of Deformation Monitoring Data Based on InSAR

Abstract In recent years, geological disasters caused by surface deformation frequently occur, which seriously threatens the safety of people's lives and property. Therefore, it is of great significance to strengthen the monitoring of surface deformation. With the continuous advancement of science and technology, traditional monitoring technology is difficult to meet the development requirements of modern society. As a new type of space-to-earth observation technology, INSAR technology has the advantages of high precision and real-time dynamic monitoring, and has been obtained in surface deformation monitoring. widely used. This paper briefly analyzes the basic working principle of INSAR technology and its specific application in surface deformation monitoring. The algorithm parallelism of the ground-based SAR deformation monitoring process is analyzed, and the CPU+GPU heterogeneous platform is used to accelerate the implementation to improve the timeliness of deformation monitoring. BP imaging algorithm, interferogram generation, interferogram filtering and phase unwrapping algorithm are designed in parallel, and appropriate parallel granularity planning for multiple loops, adaptive division of optimal thread block size and use of shared memory to reduce duplicate data are adopted. Optimization strategies such as read time enable GPU acceleration processing. Compared with the implementation of CPU platform and CPU+GPU heterogeneous platform, the acceleration effect from tens to hundreds of times is accelerated, and the feasibility of GPU to improve the timeliness of deformation monitoring is verified.