Composite Sparsity-Driven SAR Parametric Imaging for Rectangular Plate

Pucheng Li; Tianyi Zhang; Yangkai Wei; Tiaotiao Yuan; Zegang Ding; Tao Zeng

doi:10.1109/Radar53847.2021.10027955

Composite Sparsity-Driven SAR Parametric Imaging for Rectangular Plate

Pucheng Li, Tianyi Zhang, Yangkai Wei^*, Tiaotiao Yuan, Zegang Ding, Tao Zeng

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

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

Abstract

The traditional synthetic aperture radar (SAR) imaging technology is usually based on the point scatterers (PSs) model, which cannot preserve the structural characteristics of the distributed targets in SAR imaging. To solve this problem, in this paper, a parametric model of the rectangular plate scatterers (RPSs) is utilized to characterize the scattering features of the distributed target. Then, ℓ1-norm representing point sparsity and total variation (TV) norm representing edge sparsity is introduced, which can provide critical priors for signal recovery. Finally, the composite sparsity-driven parametric imaging algorithm based on the alternative direction method of multipliers (CSPI-ADMM) is proposed to solve the imaging problem of lack of structure. The effectiveness of the proposed algorithm through simulation experiments.

Original language	English
Title of host publication	2021 CIE International Conference on Radar, Radar 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	314-317
Number of pages	4
ISBN (Electronic)	9781665498142
DOIs	https://doi.org/10.1109/Radar53847.2021.10027955
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

Synthetic aperture radar (SAR)
composite sparsity driven parametric imaging algorithm based on the alternative direction method of multipliers (CSPI-ADMM)
parametric imaging
the rectangular plate scatterers (RPSs)

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10.1109/Radar53847.2021.10027955

Cite this

Li, P., Zhang, T., Wei, Y., Yuan, T., Ding, Z., & Zeng, T. (2021). Composite Sparsity-Driven SAR Parametric Imaging for Rectangular Plate. In 2021 CIE International Conference on Radar, Radar 2021 (pp. 314-317). (Proceedings of the IEEE Radar Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Radar53847.2021.10027955

@inproceedings{3ee79c6adbef4fa8894cca5e8a3be531,

title = "Composite Sparsity-Driven SAR Parametric Imaging for Rectangular Plate",

abstract = "The traditional synthetic aperture radar (SAR) imaging technology is usually based on the point scatterers (PSs) model, which cannot preserve the structural characteristics of the distributed targets in SAR imaging. To solve this problem, in this paper, a parametric model of the rectangular plate scatterers (RPSs) is utilized to characterize the scattering features of the distributed target. Then, ℓ1-norm representing point sparsity and total variation (TV) norm representing edge sparsity is introduced, which can provide critical priors for signal recovery. Finally, the composite sparsity-driven parametric imaging algorithm based on the alternative direction method of multipliers (CSPI-ADMM) is proposed to solve the imaging problem of lack of structure. The effectiveness of the proposed algorithm through simulation experiments.",

keywords = "Synthetic aperture radar (SAR), composite sparsity driven parametric imaging algorithm based on the alternative direction method of multipliers (CSPI-ADMM), parametric imaging, the rectangular plate scatterers (RPSs)",

author = "Pucheng Li and Tianyi Zhang and Yangkai Wei and Tiaotiao Yuan and Zegang Ding and Tao Zeng",

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/Radar53847.2021.10027955",

language = "English",

series = "Proceedings of the IEEE Radar Conference",

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

pages = "314--317",

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

address = "United States",

}

Li, P, Zhang, T, Wei, Y, Yuan, T, Ding, Z & Zeng, T 2021, Composite Sparsity-Driven SAR Parametric Imaging for Rectangular Plate. 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. 314-317, 2021 CIE International Conference on Radar, Radar 2021, Haikou, Hainan, China, 15/12/21. https://doi.org/10.1109/Radar53847.2021.10027955

Composite Sparsity-Driven SAR Parametric Imaging for Rectangular Plate. / Li, Pucheng; Zhang, Tianyi; Wei, Yangkai et al.
2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 314-317 (Proceedings of the IEEE Radar Conference; Vol. 2021-December).

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

TY - GEN

T1 - Composite Sparsity-Driven SAR Parametric Imaging for Rectangular Plate

AU - Li, Pucheng

AU - Zhang, Tianyi

AU - Wei, Yangkai

AU - Yuan, Tiaotiao

AU - Ding, Zegang

AU - Zeng, Tao

PY - 2021

Y1 - 2021

N2 - The traditional synthetic aperture radar (SAR) imaging technology is usually based on the point scatterers (PSs) model, which cannot preserve the structural characteristics of the distributed targets in SAR imaging. To solve this problem, in this paper, a parametric model of the rectangular plate scatterers (RPSs) is utilized to characterize the scattering features of the distributed target. Then, ℓ1-norm representing point sparsity and total variation (TV) norm representing edge sparsity is introduced, which can provide critical priors for signal recovery. Finally, the composite sparsity-driven parametric imaging algorithm based on the alternative direction method of multipliers (CSPI-ADMM) is proposed to solve the imaging problem of lack of structure. The effectiveness of the proposed algorithm through simulation experiments.

AB - The traditional synthetic aperture radar (SAR) imaging technology is usually based on the point scatterers (PSs) model, which cannot preserve the structural characteristics of the distributed targets in SAR imaging. To solve this problem, in this paper, a parametric model of the rectangular plate scatterers (RPSs) is utilized to characterize the scattering features of the distributed target. Then, ℓ1-norm representing point sparsity and total variation (TV) norm representing edge sparsity is introduced, which can provide critical priors for signal recovery. Finally, the composite sparsity-driven parametric imaging algorithm based on the alternative direction method of multipliers (CSPI-ADMM) is proposed to solve the imaging problem of lack of structure. The effectiveness of the proposed algorithm through simulation experiments.

KW - Synthetic aperture radar (SAR)

KW - composite sparsity driven parametric imaging algorithm based on the alternative direction method of multipliers (CSPI-ADMM)

KW - parametric imaging

KW - the rectangular plate scatterers (RPSs)

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U2 - 10.1109/Radar53847.2021.10027955

DO - 10.1109/Radar53847.2021.10027955

M3 - Conference contribution

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T3 - Proceedings of the IEEE Radar Conference

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BT - 2021 CIE International Conference on Radar, Radar 2021

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ER -

Composite Sparsity-Driven SAR Parametric Imaging for Rectangular Plate

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