Abstract:

In order to quantitatively simulate and analyze the impact on the quality of the remote sensing system from factors such as platform jitter,electronic properties,and atmospheric attenuation,it is necessary to compute the modulate transfer function (MTF) of the remote sensing system and operate it in simulation images.However,because of the characteristics of big data in remote sensing image simulation and a number of intensive algorithms involved in the computing of MTF degradation,calculating efficiency becomes the bottleneck problem. Thus, according to the existing MTF calculation model, we analyze the general process of the MTF degradation of remote sensing simulated images and the complexity of the main steps in the algorithm. Based on this,we propose a CPUGPU collaboration based computing parallel algorithm for the MTF degradation of remote sensing simulation images. Experimental results show that the algorithm can make full use of the parallel computing capacity of GPUs and improve the computation efficiency of the MTF degradation.

Key words: remote sensing simulation images;MTF degradation;parallel algorithm;GPU;CUDA