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《Science of Surveying and Mapping》 2015-01
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Parallel processing of InSAR interferogram filtering with CUDA programming

GAO Sheng;ZENG Qi-ming;JIAO Jian;LIANG Cun-ren;TONG Qing-xi;Institute of Remote Sensing and Geographic Information System,Beijing University;  
As an important step in InSAR processing,interferogram filtering is one of the most timeconsuming step.In the paper,a method of filtering acceleration based on GPU aiming at the widely used Goldstein filtering algorithm was proposed,the filtering effects were quantitatively evaluated,and the relationship between the filtering time with GPU and the data volumes and the filtering kernel sizes were discussed then.Furthermore,the drawbacks of current GPUs in parallel computing were pointed out.Experimental result proved that the method could achieve the same accuracy as CPUs do,with a speedup ratio as high as 22.
【Fund】: 国家自然科学基金项目(41171267 40571098)
【CateGory Index】: TN957.52
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