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基于DEM辅助后向投影模型的InSAR高程反演方法
引用本文:胡晓宁,汪丙南,向茂生,王钟斌.基于DEM辅助后向投影模型的InSAR高程反演方法[J].雷达学报,2021,10(3):391-401.
作者姓名:胡晓宁  汪丙南  向茂生  王钟斌
作者单位:中国科学院空天信息创新研究院 北京 100190;中国科学院微波成像技术国家级重点实验室 北京 100190;中国科学院大学 北京 100049
基金项目:国家自然科学基金(62073306),中国科学院青年创新促进会项目资助,国家重点研发计划资助(2017YFC0822400)
摘    要:利用干涉合成孔径雷达(InSAR)技术获取数字高程模型(DEM)时,在地形起伏剧烈区域,干涉条纹十分密集,增加了相位解缠的难度,影响相位展开和高程反演的精度。为了解决该问题,该文提出了一种基于DEM辅助后向投影模型的InSAR高程反演方法。该方法可以在统一的后向投影成像空间中实现成像和InSAR高程反演,并且引入外源DEM作为辅助信息,去除大部分地形相位,有效地降低了干涉条纹的密度,减少了干涉相位的缠绕。此外,该方法在多数情况下可以避免图像配准和相位解缠过程,简化了传统InSAR的处理流程,并且可以实现高精度的高程反演。通过仿真实验和X波段机载双天线InSAR数据的处理验证了该方法的有效性。 

关 键 词:高程反演  干涉合成孔径雷达  辅助数字高程模型  BP算法  合成孔径雷达
收稿时间:2020-11-28

InSAR Elevation Inversion Method Based on Backprojection Model with External DEM
HU Xiaoning,WANG Bingnan,XIANG Maosheng,WANG Zhongbin.InSAR Elevation Inversion Method Based on Backprojection Model with External DEM[J].Journal of Radars,2021,10(3):391-401.
Authors:HU Xiaoning  WANG Bingnan  XIANG Maosheng  WANG Zhongbin
Affiliation:1.Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China2.National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China3.University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:When Interferometric Synthetic Aperture Radar (InSAR) is used to obtain the Digital Elevation Model (DEM), highly sloped terrains will make interferometric fringes dense and increase the difficulty of phase unwrapping, which will affect the accuracy of phase unwrapping and elevation inversion. To solve this problem, an InSAR elevation inversion method based on BackProjection (BP) model with an external DEM is proposed. This model achieves imaging and InSAR DEM inversion in a uniform BP geographic space and introduces an external DEM as auxiliary information. These processes, in turn, can remove most phases of the terrain and reduce the density of interferometric fringes and phase wrapping. Additionally, the proposed method can avoid the procedures of image registration and phase unwrapping in most cases, which simplifies traditional InSAR processing and achieves high processing accuracy. A simulation experiment and X-band InSAR data processing were performed to verify the effectiveness of the proposed method. 
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