Performance of an Effective SAR Polarimetric Calibration Method Using Polarimetric Active Radar Calibrators: Numerical Simulations and LT-1 Experiments.
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| Title: | Performance of an Effective SAR Polarimetric Calibration Method Using Polarimetric Active Radar Calibrators: Numerical Simulations and LT-1 Experiments. |
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| Authors: | Chen, Yibin1,2 (AUTHOR), Li, Liang1,2 (AUTHOR) liliang@aircas.ac.cn, Liu, Guikun1 (AUTHOR), Li, Zhengshuai1 (AUTHOR) |
| Source: | Remote Sensing. Feb2025, Vol. 17 Issue 4, p584. 19p. |
| Subjects: | S-matrix theory, Amplitude estimation, Channel estimation, Radar, Calibration, Polarimetry |
| Abstract: | This paper presents a new approach to polarimetric calibration, extending classical PARC-based methods by exploring new matrix combinations that broaden the applicability of the existing techniques. By investigating alternative matrix configurations, the proposed method not only enhances the flexibility of conventional calibration approaches but also identifies matrix combinations that offer superior performance advantages. The influence of the SNR and scattering matrix error of PARC on the proposed method is evaluated by numerical simulations. The results demonstrate that the proposed method is highly accurate for PARCs with an SNR greater than 34 dB and with single-channel scattering matrix deviations less than −40 dB and four-channel scattering matrix deviations less than 0.5 dB. The effectiveness and precision of the method were validated through calibration experiments conducted on the L-band polarimetric synthetic-aperture radar aboard the LT-1 satellite. The experimental results demonstrate that the amplitude and phase estimation errors of channel unbalance are less than 0.6 dB and 4.5°, respectively, and that the crosstalk estimation error is less than −33 dB. Furthermore, the effectiveness of the method is validated through trihedral corner reflector correlation experiments and the synthesis of pseudo-color images via Pauli decomposition. The theoretical polarization characteristics of the reference target exhibited a high degree of agreement with the calibrated polarization characteristics. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 183287014 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance of an Effective SAR Polarimetric Calibration Method Using Polarimetric Active Radar Calibrators: Numerical Simulations and LT-1 Experiments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Yibin%22">Chen, Yibin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Liang%22">Li, Liang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> liliang@aircas.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Guikun%22">Liu, Guikun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Zhengshuai%22">Li, Zhengshuai</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Feb2025, Vol. 17 Issue 4, p584. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22S-matrix+theory%22">S-matrix theory</searchLink><br /><searchLink fieldCode="DE" term="%22Amplitude+estimation%22">Amplitude estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Channel+estimation%22">Channel estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Radar%22">Radar</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Polarimetry%22">Polarimetry</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a new approach to polarimetric calibration, extending classical PARC-based methods by exploring new matrix combinations that broaden the applicability of the existing techniques. By investigating alternative matrix configurations, the proposed method not only enhances the flexibility of conventional calibration approaches but also identifies matrix combinations that offer superior performance advantages. The influence of the SNR and scattering matrix error of PARC on the proposed method is evaluated by numerical simulations. The results demonstrate that the proposed method is highly accurate for PARCs with an SNR greater than 34 dB and with single-channel scattering matrix deviations less than −40 dB and four-channel scattering matrix deviations less than 0.5 dB. The effectiveness and precision of the method were validated through calibration experiments conducted on the L-band polarimetric synthetic-aperture radar aboard the LT-1 satellite. The experimental results demonstrate that the amplitude and phase estimation errors of channel unbalance are less than 0.6 dB and 4.5°, respectively, and that the crosstalk estimation error is less than −33 dB. Furthermore, the effectiveness of the method is validated through trihedral corner reflector correlation experiments and the synthesis of pseudo-color images via Pauli decomposition. The theoretical polarization characteristics of the reference target exhibited a high degree of agreement with the calibrated polarization characteristics. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs17040584 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 584 Subjects: – SubjectFull: S-matrix theory Type: general – SubjectFull: Amplitude estimation Type: general – SubjectFull: Channel estimation Type: general – SubjectFull: Radar Type: general – SubjectFull: Calibration Type: general – SubjectFull: Polarimetry Type: general Titles: – TitleFull: Performance of an Effective SAR Polarimetric Calibration Method Using Polarimetric Active Radar Calibrators: Numerical Simulations and LT-1 Experiments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Yibin – PersonEntity: Name: NameFull: Li, Liang – PersonEntity: Name: NameFull: Liu, Guikun – PersonEntity: Name: NameFull: Li, Zhengshuai IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 17 – Type: issue Value: 4 Titles: – TitleFull: Remote Sensing Type: main |
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