Multi-Core Parallel Based Polarimetric InSAR Data Processing Method and Application Cases

Abstract

Based on analyzing the storage structure of polarimetric interferometry synthetic aperture radar (Pol-InSAR) data, this study proposed a multi-core parallel Pol-InSAR data processing method (MCP-PIDPM). In order to improve the processing speed of Pol-InSAR data, this paper presented a multi-core parallel Pol-InSAR data processing scheme, and constructed its processing framework in the research. The key technology of the multi-core parallel Pol-InSAR data processing was discussed, a buffer detection splitting method for Pol-InSAR image was proposed, and improved the self-adaptive phase unwrapping method. At last, a multi-core parallel Pol-InSAR data processing system (MCP-PIDPS) was developed, and the proposed MCP-PIDPM method was tested and validated through experiments. The system based on the above method assigns tasks and loads reasonably to each processor and uses space to exchange time. It is proved by numerical experiments that the efficiency of Pol-InSAR data processing is increased by more than 10 times. The research breaks through the bottleneck which restricts the efficient application of Pol-InSAR, and provides a feasible solution for the efficient processing of Pol-InSAR data.

Keywords

InSAR / polarimetric InSAR / DEM / parallel computing / open multi-processing