Parallel implementation of MPI-based SAR image soil moisture inversion

Radar image has now becoming more and more widely used in the ecological environment monitoring. The soil moisture inversion for SAR(Synthetic Aperture Radar) image has important significance in the field of agriculture and environment. However, as the SAR image data is large scale and the algorithm of soil moisture inversion is complicated, it´s a time-consuming work for SAR image processing, so how to get fast processing for SAR images has now become an important problem. Therefore, the this paper use MPI(Message Passing Interface) cluster system accelerate the processing speed of algorithm, thus speeding up the SAR image processing and improving the efficiency of the use of computers. This paper designed and implemented two cluster computing modes that are master-slave mode and peer-to-peer mode. At last, we takes an experimental testing, results show that relative to master-slave mode, peer-to-peer mode can get a better acceleration effect, greatly improves the processing speed.