Parallel Computation in Dimension Reduction of Hyperspectral Remote Sensing Imagery Based on Matlab

Serial computation usually requires computer of high-performance and time-consuming when calculation of huge amount of remote sensing data.So the parallel computation is involved in to avoid the strict request of computer capacity,and help to improve the speed of calculation significantly.The mechanism of parallel computation based on MPI(Message Passing Interface) is introduced and performed a model in MATLAB as well.The detail flowchart of the way how to change the serial computation code into the parallel one is then presented.As a case study,the code of intrinsic dimension estimation of large volume hyperspectral remote sensing data was changed from serial computation mode into parallel computation.Finally,numerical results show that parallel computation has clearly advantage in efficiency when perform the complicated computation.