A new structure-based coregistration method for near-field ground-based MIMO tomographic SAR

Gen Li; Yu Zhu; Liangbo Zhao; Zegang Ding; Yan Wang; Linghao Li; Minkun Liu

doi:10.1109/IGARSS.2019.8900460

A new structure-based coregistration method for near-field ground-based MIMO tomographic SAR

Gen Li, Yu Zhu, Liangbo Zhao, Zegang Ding, Yan Wang, Linghao Li, Minkun Liu

School of Information and Electronics

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

Image coregistration is a key step in tomographic SAR (TomoSAR) signal processing, and the quality of coregistration directly determines the tomographic results. Traditional coregistration is performed based on the far-field assumption, where the scattering characteristics remain constant with different look angles and distances. However, for near-field TomoSAR observation, the traditional coregistration method will fail because of the mismatch caused by the change of scattering characteristics. In this study, we propose a new structure-based coregistration method for near-field ground-based MIMO TomoSAR. Corse coregistration based on the structure and fine coregistration combining correlation function and singular modification are conducted to achieve coregistration accurately and robustly. The validity of the presented approach is validated by real data.

Original language	English
Pages	3649-3652
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2019.8900460
Publication status	Published - 2019
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19

Keywords

Image registration
Near-field
Singular modification
Structure
TomoSAR

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10.1109/IGARSS.2019.8900460

Cite this

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abstract = "Image coregistration is a key step in tomographic SAR (TomoSAR) signal processing, and the quality of coregistration directly determines the tomographic results. Traditional coregistration is performed based on the far-field assumption, where the scattering characteristics remain constant with different look angles and distances. However, for near-field TomoSAR observation, the traditional coregistration method will fail because of the mismatch caused by the change of scattering characteristics. In this study, we propose a new structure-based coregistration method for near-field ground-based MIMO TomoSAR. Corse coregistration based on the structure and fine coregistration combining correlation function and singular modification are conducted to achieve coregistration accurately and robustly. The validity of the presented approach is validated by real data.",

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author = "Gen Li and Yu Zhu and Liangbo Zhao and Zegang Ding and Yan Wang and Linghao Li and Minkun Liu",

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doi = "10.1109/IGARSS.2019.8900460",

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T1 - A new structure-based coregistration method for near-field ground-based MIMO tomographic SAR

AU - Li, Gen

AU - Zhu, Yu

AU - Zhao, Liangbo

AU - Ding, Zegang

AU - Wang, Yan

AU - Li, Linghao

AU - Liu, Minkun

PY - 2019

Y1 - 2019

N2 - Image coregistration is a key step in tomographic SAR (TomoSAR) signal processing, and the quality of coregistration directly determines the tomographic results. Traditional coregistration is performed based on the far-field assumption, where the scattering characteristics remain constant with different look angles and distances. However, for near-field TomoSAR observation, the traditional coregistration method will fail because of the mismatch caused by the change of scattering characteristics. In this study, we propose a new structure-based coregistration method for near-field ground-based MIMO TomoSAR. Corse coregistration based on the structure and fine coregistration combining correlation function and singular modification are conducted to achieve coregistration accurately and robustly. The validity of the presented approach is validated by real data.

AB - Image coregistration is a key step in tomographic SAR (TomoSAR) signal processing, and the quality of coregistration directly determines the tomographic results. Traditional coregistration is performed based on the far-field assumption, where the scattering characteristics remain constant with different look angles and distances. However, for near-field TomoSAR observation, the traditional coregistration method will fail because of the mismatch caused by the change of scattering characteristics. In this study, we propose a new structure-based coregistration method for near-field ground-based MIMO TomoSAR. Corse coregistration based on the structure and fine coregistration combining correlation function and singular modification are conducted to achieve coregistration accurately and robustly. The validity of the presented approach is validated by real data.

KW - Image registration

KW - Near-field

KW - Singular modification

KW - Structure

KW - TomoSAR

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DO - 10.1109/IGARSS.2019.8900460

M3 - Paper

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SP - 3649

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T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019

Y2 - 28 July 2019 through 2 August 2019

ER -

A new structure-based coregistration method for near-field ground-based MIMO tomographic SAR

Abstract

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Keywords

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