Three-Dimensional Deformation Retrieval by Multi-Angle Processing in Distributed Geosynchronous SAR

Yuhui Xie; Zhiyang Chen; Yuanhao Li; Xichao Dong; Cheng Hu

doi:10.1109/Radar53847.2021.10028116

Three-Dimensional Deformation Retrieval by Multi-Angle Processing in Distributed Geosynchronous SAR

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

This paper proposes distributed geosynchronous synthetic aperture radar (GEO SAR) for three-dimensional (3D) deformation retrieval. The system can provide sufficient observation angles, which can greatly improve the measurement accuracy. We firstly introduce the configuration of distributed GEO SAR. Then, we focus on the 3D deformation retrieval in distributed GEO SAR by multi-angle processing. An optimal multi-angle data selection method based on minimizing position dilution of precision (PDOP) is proposed to obtain optimal 3D deformation retrieval accuracy. Finally, the proposed methods and the theoretical analysis are verified by simulation experiments. 3D deformation retrieval accuracy of centimeter-level can be obtained by selecting optimal multi-angle data.

Original language	English
Title of host publication	2021 CIE International Conference on Radar, Radar 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	531-534
Number of pages	4
ISBN (Electronic)	9781665498142
DOIs	https://doi.org/10.1109/Radar53847.2021.10028116
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

geosynchronous synthetic aperture radar (GEO SAR)
multi-angle processing
three-dimensional (3D) deformation measurement

Access to Document

10.1109/Radar53847.2021.10028116

Cite this

Xie, Y., Chen, Z., Li, Y., Dong, X., & Hu, C. (2021). Three-Dimensional Deformation Retrieval by Multi-Angle Processing in Distributed Geosynchronous SAR. In 2021 CIE International Conference on Radar, Radar 2021 (pp. 531-534). (Proceedings of the IEEE Radar Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Radar53847.2021.10028116

@inproceedings{e7502bdb801445389dc71b1d252dc0af,

title = "Three-Dimensional Deformation Retrieval by Multi-Angle Processing in Distributed Geosynchronous SAR",

abstract = "This paper proposes distributed geosynchronous synthetic aperture radar (GEO SAR) for three-dimensional (3D) deformation retrieval. The system can provide sufficient observation angles, which can greatly improve the measurement accuracy. We firstly introduce the configuration of distributed GEO SAR. Then, we focus on the 3D deformation retrieval in distributed GEO SAR by multi-angle processing. An optimal multi-angle data selection method based on minimizing position dilution of precision (PDOP) is proposed to obtain optimal 3D deformation retrieval accuracy. Finally, the proposed methods and the theoretical analysis are verified by simulation experiments. 3D deformation retrieval accuracy of centimeter-level can be obtained by selecting optimal multi-angle data.",

keywords = "geosynchronous synthetic aperture radar (GEO SAR), multi-angle processing, three-dimensional (3D) deformation measurement",

author = "Yuhui Xie and Zhiyang Chen and Yuanhao Li and Xichao Dong and Cheng Hu",

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/Radar53847.2021.10028116",

language = "English",

series = "Proceedings of the IEEE Radar Conference",

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

pages = "531--534",

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

address = "United States",

}

Xie, Y, Chen, Z , Li, Y , Dong, X & Hu, C 2021, Three-Dimensional Deformation Retrieval by Multi-Angle Processing in Distributed Geosynchronous SAR. 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. 531-534, 2021 CIE International Conference on Radar, Radar 2021, Haikou, Hainan, China, 15/12/21. https://doi.org/10.1109/Radar53847.2021.10028116

Three-Dimensional Deformation Retrieval by Multi-Angle Processing in Distributed Geosynchronous SAR. / Xie, Yuhui; Chen, Zhiyang ; Li, Yuanhao et al.
2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 531-534 (Proceedings of the IEEE Radar Conference; Vol. 2021-December).

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

TY - GEN

T1 - Three-Dimensional Deformation Retrieval by Multi-Angle Processing in Distributed Geosynchronous SAR

AU - Xie, Yuhui

AU - Chen, Zhiyang

AU - Li, Yuanhao

AU - Dong, Xichao

AU - Hu, Cheng

PY - 2021

Y1 - 2021

N2 - This paper proposes distributed geosynchronous synthetic aperture radar (GEO SAR) for three-dimensional (3D) deformation retrieval. The system can provide sufficient observation angles, which can greatly improve the measurement accuracy. We firstly introduce the configuration of distributed GEO SAR. Then, we focus on the 3D deformation retrieval in distributed GEO SAR by multi-angle processing. An optimal multi-angle data selection method based on minimizing position dilution of precision (PDOP) is proposed to obtain optimal 3D deformation retrieval accuracy. Finally, the proposed methods and the theoretical analysis are verified by simulation experiments. 3D deformation retrieval accuracy of centimeter-level can be obtained by selecting optimal multi-angle data.

AB - This paper proposes distributed geosynchronous synthetic aperture radar (GEO SAR) for three-dimensional (3D) deformation retrieval. The system can provide sufficient observation angles, which can greatly improve the measurement accuracy. We firstly introduce the configuration of distributed GEO SAR. Then, we focus on the 3D deformation retrieval in distributed GEO SAR by multi-angle processing. An optimal multi-angle data selection method based on minimizing position dilution of precision (PDOP) is proposed to obtain optimal 3D deformation retrieval accuracy. Finally, the proposed methods and the theoretical analysis are verified by simulation experiments. 3D deformation retrieval accuracy of centimeter-level can be obtained by selecting optimal multi-angle data.

KW - geosynchronous synthetic aperture radar (GEO SAR)

KW - multi-angle processing

KW - three-dimensional (3D) deformation measurement

UR - https://www.scopus.com/pages/publications/85181084953

U2 - 10.1109/Radar53847.2021.10028116

DO - 10.1109/Radar53847.2021.10028116

M3 - Conference contribution

AN - SCOPUS:85181084953

T3 - Proceedings of the IEEE Radar Conference

SP - 531

EP - 534

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 -

Three-Dimensional Deformation Retrieval by Multi-Angle Processing in Distributed Geosynchronous SAR

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