Abstract: To get effective surveillance of the whole movement of infrared small target, multiband simultaneous detection is necessary. But, multiband simultaneous detection leads to substantial growth in computing time, that cannot meet the requirement of real-time target detection in practical application. To solve this problem, this paper presents a parallel hierarchical approach based on MPI and OpenMP, which makes full use of the advantages of both message-passing model and shared storage model. It is based on multi-processor node cluster for testing. Experimental results show that, this parallel version of the program can achieve a speedup of 8.61 compared to the serial version in the condition of same detection probability. It improves the efficiency of target detection greatly.

Key words: target detection, MPI, OpenMP, parallel computing