【摘要】 传统D-InSAR技术虽然在地表形变测量应用中得到广泛应用,但其测量精度容易受失相干、大气效应、DEM误差等的影响,测量结果有时甚至不可靠。为了突破这些限制,在D-InSAR技术中引入时间维,筛选出时序SAR图像上受失相干影响较小的像元,建立并解算相位模型,从而提取形变信息。PS-InSAR技术自出现以来,经过不断改进,在受失相干影响较大的长期缓慢形变监测中发挥了重要作用,一直是近年来雷达干涉领域研究的重点问题。详细梳理了PS-InSAR技术的发展历史,总结了关键技术环节的改进算法以及应用领域,指出现有PS-InSAR技术仍然存在的问题以及可能的发展趋势。更多还原

【Abstract】 Although traditional D-InSAR is widely utilized in surface deformation measurement,its accuracy is limited by many factors,such as decorrelation,atmospheric impact,DEM errors.In order to overcome these limitations,the time dimension is introduced into the D-InSAR technique.Pixels less affected by decorrelation are selected from a time series of SAR images,and then deformation extraction is conducted on these pixels,based on a phase model.After continuous modifications of PS-InSAR since its appearance,it plays an important role in monitoring long-time slow surface deformation.The development history,technical improvements and application fields of PS-InSAR are summarized here;the facing problems and corresponding research of PS-InSAR are also pointed out.更多还原