【作者】 孙永进； 徐白山； 杨旭； 梁晓强； 潘庆芳； 穆合塔尔·麦合木提；

【Author】 SUN Yong-Jin;XU Bai-Shan;YANG Xu;LIANG Xiao-Qiang;PAN Qing-Fang;MUHEta-er·MAIHEmu-ti;College of Resources and Civil Engineering,Northeastern University;

【机构】 东北大学资源与土木工程学院；

【摘要】 相位解缠作为InSAR数据处理中关键的步骤,直接影响DEM的精度。以地形起伏较大地区数据,研究了SARscape软件对InSAR数据的3种相位解缠算法。研究结果表明:区域生长算法不适合地形起伏较大区域。基于规则格网的最小费用流法与基于Delaunay三角网的最小费用流算法比较,前者相位解缠的精度低;基于Delaunay三角网的最小费用流算法在解缠低相干性区域的InSAR数据时解缠的效果相对较好,但解缠计算需要的时间稍长,改进参数有待提高。更多还原

【Abstract】 Phase unwrapping is the most crucial steps in InSAR processing,which directly affects the accuracy of DEM.Based on the data of large terrain,the three phase unwrapping algorithms in SARscape software are studied.The results show that the region growth algorithm is not suitable for the large terrain.Comparison of the minimum cost flow algorithm based on rule grid and the minimum cost flow algorithm based on Delaunay triangulation,the first algorithm is less accurate in phase unwrapping.The minimum cost flow algorithm based on Delaunay triangulation is relatively effective in solving the low coherence region,but the time of unwinding uses to be improved and the improved parameters need to be improved.更多还原