Application of L1 norm approach to data acquired by the array GPR Yakumo

Li Yi; Kazunori Takahashi; Motoyuki Sato

doi:10.1109/EuCAP.2016.7481984

Application of L1 norm approach to data acquired by the array GPR Yakumo

Li Yi, Kazunori Takahashi, Motoyuki Sato

Department of Basic Studies

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

2 Citations (Scopus)

Abstract

We apply the L1 norm approaches on sparsely acquired data of the array ground penetrating radar (GPR) system YAKUMO. Due to the limitation of the antenna size of YAKUMO system, the antenna offsets between each element are much larger than the wavelength. Such sparsely acquired data may introduce strong artifacts to the imaging results such as synthetic aperture radar (SAR) processing and the velocity analysis. In order to use these sparsely acquired data properly, we improved these algorithms by applying the sparsely promoted L1 norm regularization. The results shows that the proposed method can provide high resolution results with sparsely acquired dataset.

Original language	English
Title of host publication	2016 10th European Conference on Antennas and Propagation, EuCAP 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9788890701863
DOIs	https://doi.org/10.1109/EuCAP.2016.7481984
Publication status	Published - 2016 May 31
Event	10th European Conference on Antennas and Propagation, EuCAP 2016 - Davos, Switzerland Duration: 2016 Apr 10 → 2016 Apr 15

Publication series

Name	2016 10th European Conference on Antennas and Propagation, EuCAP 2016

Other

Other	10th European Conference on Antennas and Propagation, EuCAP 2016
Country/Territory	Switzerland
City	Davos
Period	16/4/10 → 16/4/15

Keywords

L1 norm
compressive sensing
ground penetrating radar (GPR)
synthetic aperture radar (SAR)
velocity analysis

ASJC Scopus subject areas

Radiation
Computer Networks and Communications
Instrumentation

Access to Document

10.1109/EuCAP.2016.7481984

Cite this

Yi, L., Takahashi, K., & Sato, M. (2016). Application of L1 norm approach to data acquired by the array GPR Yakumo. In 2016 10th European Conference on Antennas and Propagation, EuCAP 2016 [7481984] (2016 10th European Conference on Antennas and Propagation, EuCAP 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EuCAP.2016.7481984

Application of L1 norm approach to data acquired by the array GPR Yakumo. / Yi, Li; Takahashi, Kazunori; Sato, Motoyuki.
2016 10th European Conference on Antennas and Propagation, EuCAP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7481984 (2016 10th European Conference on Antennas and Propagation, EuCAP 2016).

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

Yi, L, Takahashi, K & Sato, M 2016, Application of L1 norm approach to data acquired by the array GPR Yakumo. in 2016 10th European Conference on Antennas and Propagation, EuCAP 2016., 7481984, 2016 10th European Conference on Antennas and Propagation, EuCAP 2016, Institute of Electrical and Electronics Engineers Inc., 10th European Conference on Antennas and Propagation, EuCAP 2016, Davos, Switzerland, 16/4/10. https://doi.org/10.1109/EuCAP.2016.7481984

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abstract = "We apply the L1 norm approaches on sparsely acquired data of the array ground penetrating radar (GPR) system YAKUMO. Due to the limitation of the antenna size of YAKUMO system, the antenna offsets between each element are much larger than the wavelength. Such sparsely acquired data may introduce strong artifacts to the imaging results such as synthetic aperture radar (SAR) processing and the velocity analysis. In order to use these sparsely acquired data properly, we improved these algorithms by applying the sparsely promoted L1 norm regularization. The results shows that the proposed method can provide high resolution results with sparsely acquired dataset.",

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N2 - We apply the L1 norm approaches on sparsely acquired data of the array ground penetrating radar (GPR) system YAKUMO. Due to the limitation of the antenna size of YAKUMO system, the antenna offsets between each element are much larger than the wavelength. Such sparsely acquired data may introduce strong artifacts to the imaging results such as synthetic aperture radar (SAR) processing and the velocity analysis. In order to use these sparsely acquired data properly, we improved these algorithms by applying the sparsely promoted L1 norm regularization. The results shows that the proposed method can provide high resolution results with sparsely acquired dataset.

AB - We apply the L1 norm approaches on sparsely acquired data of the array ground penetrating radar (GPR) system YAKUMO. Due to the limitation of the antenna size of YAKUMO system, the antenna offsets between each element are much larger than the wavelength. Such sparsely acquired data may introduce strong artifacts to the imaging results such as synthetic aperture radar (SAR) processing and the velocity analysis. In order to use these sparsely acquired data properly, we improved these algorithms by applying the sparsely promoted L1 norm regularization. The results shows that the proposed method can provide high resolution results with sparsely acquired dataset.

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KW - synthetic aperture radar (SAR)

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Application of L1 norm approach to data acquired by the array GPR Yakumo

Abstract

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Keywords

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