A Novel DEM Imaging Algorithm for Complex Terrain Based on GNSS-InBSAR System

Jian Gao, Feifeng Liu, Zhanze Wang, Ruihong Lv, Zhixiang Xu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Global Navigation Satellite System (GNSS) based interferometric synthetic aperture radar(InSAR) can be considered as a distributed system. It is required to use digital elevation model (DEM) to obtain high-accuracy interferometric phase. However, using coarse DEM directly will make the edge of target's PSF distorted due to its low two-dimensional resolution. In this paper, a DEM imaging method that combines fitting and smoothing processing is proposed. The fitting processing is based on moving least square and the gaussian kernel with symmetrical transformation is used to realize the smooth effect. The experimental results show that the correlation coefficient of the associated points in imaging pairs has been improved, which proves the effectiveness of the algorithm.

源语言英语
主期刊名2021 CIE International Conference on Radar, Radar 2021
出版商Institute of Electrical and Electronics Engineers Inc.
2616-2620
页数5
ISBN(电子版)9781665498142
DOI
出版状态已出版 - 2021
活动2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, 中国
期限: 15 12月 202119 12月 2021

出版系列

姓名Proceedings of the IEEE Radar Conference
2021-December
ISSN(印刷版)1097-5764
ISSN(电子版)2375-5318

会议

会议2021 CIE International Conference on Radar, Radar 2021
国家/地区中国
Haikou, Hainan
时期15/12/2119/12/21

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