【摘要】 作为InSAR处理中的重要操作,干涉图滤波是比较耗时的步骤之一。针对广泛应用的Goldstein滤波算法,文章设计了一种基于GPU的滤波加速方法,定量评价了滤波效果,并探讨了基于GPU加速的滤波时间与数据大小和滤波窗口大小的关系,讨论了当前GPU的核心设计在并行计算中的缺点。在取得与CPU处理结果相同精度的前提下,此方法获得大约22倍的加速比。更多还原

【Abstract】 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.更多还原