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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2021 CIE International Conference on Radar, Radar 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2616-2620
Number of pages5
ISBN (Electronic)9781665498142
DOIs
Publication statusPublished - 2021
Event2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China
Duration: 15 Dec 202119 Dec 2021

Publication series

NameProceedings of the IEEE Radar Conference
Volume2021-December
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2021 CIE International Conference on Radar, Radar 2021
Country/TerritoryChina
CityHaikou, Hainan
Period15/12/2119/12/21

Keywords

  • Global Navigation Satellite System based interferometric bistatic synthetic aperture radar(GNSS-InBSAR)
  • deformation inversion
  • digital elevation model (DEM) imaging

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