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

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

doi:10.1109/Radar53847.2021.10027988

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

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

School of Information and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2021 CIE International Conference on Radar, Radar 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2616-2620
Number of pages	5
ISBN (Electronic)	9781665498142
DOIs	https://doi.org/10.1109/Radar53847.2021.10027988
Publication status	Published - 2021
Event	2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China Duration: 15 Dec 2021 → 19 Dec 2021

Publication series

Name	Proceedings of the IEEE Radar Conference
Volume	2021-December
ISSN (Print)	1097-5764
ISSN (Electronic)	2375-5318

Conference

Conference	2021 CIE International Conference on Radar, Radar 2021
Country/Territory	China
City	Haikou, Hainan
Period	15/12/21 → 19/12/21

Keywords

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

Access to Document

10.1109/Radar53847.2021.10027988

Cite this

Gao, J., Liu, F., Wang, Z., Lv, R., & Xu, Z. (2021). A Novel DEM Imaging Algorithm for Complex Terrain Based on GNSS-InBSAR System. In 2021 CIE International Conference on Radar, Radar 2021 (pp. 2616-2620). (Proceedings of the IEEE Radar Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Radar53847.2021.10027988

@inproceedings{9b7138a6e8ca49bbb31f834de67f0655,

title = "A Novel DEM Imaging Algorithm for Complex Terrain Based on GNSS-InBSAR System",

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.",

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

author = "Jian Gao and Feifeng Liu and Zhanze Wang and Ruihong Lv and Zhixiang Xu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 CIE International Conference on Radar, Radar 2021 ; Conference date: 15-12-2021 Through 19-12-2021",

year = "2021",

doi = "10.1109/Radar53847.2021.10027988",

language = "English",

series = "Proceedings of the IEEE Radar Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2616--2620",

booktitle = "2021 CIE International Conference on Radar, Radar 2021",

address = "United States",

}

Gao, J, Liu, F, Wang, Z, Lv, R & Xu, Z 2021, A Novel DEM Imaging Algorithm for Complex Terrain Based on GNSS-InBSAR System. in 2021 CIE International Conference on Radar, Radar 2021. Proceedings of the IEEE Radar Conference, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., pp. 2616-2620, 2021 CIE International Conference on Radar, Radar 2021, Haikou, Hainan, China, 15/12/21. https://doi.org/10.1109/Radar53847.2021.10027988

A Novel DEM Imaging Algorithm for Complex Terrain Based on GNSS-InBSAR System. / Gao, Jian; Liu, Feifeng; Wang, Zhanze et al.
2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 2616-2620 (Proceedings of the IEEE Radar Conference; Vol. 2021-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Novel DEM Imaging Algorithm for Complex Terrain Based on GNSS-InBSAR System

AU - Gao, Jian

AU - Liu, Feifeng

AU - Wang, Zhanze

AU - Lv, Ruihong

AU - Xu, Zhixiang

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Global Navigation Satellite System based interferometric bistatic synthetic aperture radar(GNSS-InBSAR)

KW - deformation inversion

KW - digital elevation model (DEM) imaging

UR - http://www.scopus.com/inward/record.url?scp=85181082840&partnerID=8YFLogxK

U2 - 10.1109/Radar53847.2021.10027988

DO - 10.1109/Radar53847.2021.10027988

M3 - Conference contribution

AN - SCOPUS:85181082840

T3 - Proceedings of the IEEE Radar Conference

SP - 2616

EP - 2620

BT - 2021 CIE International Conference on Radar, Radar 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 CIE International Conference on Radar, Radar 2021

Y2 - 15 December 2021 through 19 December 2021

ER -

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this