A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures

Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging...
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Autor*in:	Tiehua Zhao [verfasserIn] Qihua Wu [verfasserIn] Feng Zhao [verfasserIn] Zhiming Xu [verfasserIn] Shunping Xiao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	compressed sensing joint reconstruction orthogonal coding aperture polarization radar imaging

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 13(2021), 22, p 4626
Übergeordnetes Werk:	volume:13 ; year:2021 ; number:22, p 4626

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs13224626

Katalog-ID:	DOAJ047382864

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520			\|a Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified.
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allfields	10.3390/rs13224626 doi (DE-627)DOAJ047382864 (DE-599)DOAJcc4091feba444df5b3534fc4be83521b DE-627 ger DE-627 rakwb eng Tiehua Zhao verfasserin aut A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified. compressed sensing joint reconstruction orthogonal coding aperture polarization radar imaging Science Q Qihua Wu verfasserin aut Feng Zhao verfasserin aut Zhiming Xu verfasserin aut Shunping Xiao verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 22, p 4626 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:22, p 4626 https://doi.org/10.3390/rs13224626 kostenfrei https://doaj.org/article/cc4091feba444df5b3534fc4be83521b kostenfrei https://www.mdpi.com/2072-4292/13/22/4626 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 22, p 4626
spelling	10.3390/rs13224626 doi (DE-627)DOAJ047382864 (DE-599)DOAJcc4091feba444df5b3534fc4be83521b DE-627 ger DE-627 rakwb eng Tiehua Zhao verfasserin aut A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified. compressed sensing joint reconstruction orthogonal coding aperture polarization radar imaging Science Q Qihua Wu verfasserin aut Feng Zhao verfasserin aut Zhiming Xu verfasserin aut Shunping Xiao verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 22, p 4626 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:22, p 4626 https://doi.org/10.3390/rs13224626 kostenfrei https://doaj.org/article/cc4091feba444df5b3534fc4be83521b kostenfrei https://www.mdpi.com/2072-4292/13/22/4626 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 22, p 4626
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allfieldsGer	10.3390/rs13224626 doi (DE-627)DOAJ047382864 (DE-599)DOAJcc4091feba444df5b3534fc4be83521b DE-627 ger DE-627 rakwb eng Tiehua Zhao verfasserin aut A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified. compressed sensing joint reconstruction orthogonal coding aperture polarization radar imaging Science Q Qihua Wu verfasserin aut Feng Zhao verfasserin aut Zhiming Xu verfasserin aut Shunping Xiao verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 22, p 4626 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:22, p 4626 https://doi.org/10.3390/rs13224626 kostenfrei https://doaj.org/article/cc4091feba444df5b3534fc4be83521b kostenfrei https://www.mdpi.com/2072-4292/13/22/4626 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 22, p 4626
allfieldsSound	10.3390/rs13224626 doi (DE-627)DOAJ047382864 (DE-599)DOAJcc4091feba444df5b3534fc4be83521b DE-627 ger DE-627 rakwb eng Tiehua Zhao verfasserin aut A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified. compressed sensing joint reconstruction orthogonal coding aperture polarization radar imaging Science Q Qihua Wu verfasserin aut Feng Zhao verfasserin aut Zhiming Xu verfasserin aut Shunping Xiao verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 22, p 4626 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:22, p 4626 https://doi.org/10.3390/rs13224626 kostenfrei https://doaj.org/article/cc4091feba444df5b3534fc4be83521b kostenfrei https://www.mdpi.com/2072-4292/13/22/4626 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 22, p 4626
language	English
source	In Remote Sensing 13(2021), 22, p 4626 volume:13 year:2021 number:22, p 4626
sourceStr	In Remote Sensing 13(2021), 22, p 4626 volume:13 year:2021 number:22, p 4626
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	compressed sensing joint reconstruction orthogonal coding aperture polarization radar imaging Science Q
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container_title	Remote Sensing
authorswithroles_txt_mv	Tiehua Zhao @@aut@@ Qihua Wu @@aut@@ Feng Zhao @@aut@@ Zhiming Xu @@aut@@ Shunping Xiao @@aut@@
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In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. 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author	Tiehua Zhao
spellingShingle	Tiehua Zhao misc compressed sensing misc joint reconstruction misc orthogonal coding aperture misc polarization radar imaging misc Science misc Q A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures
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topic_title	A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures compressed sensing joint reconstruction orthogonal coding aperture polarization radar imaging
topic	misc compressed sensing misc joint reconstruction misc orthogonal coding aperture misc polarization radar imaging misc Science misc Q
topic_unstemmed	misc compressed sensing misc joint reconstruction misc orthogonal coding aperture misc polarization radar imaging misc Science misc Q
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title	A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures
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title_sort	full-polarization radar image reconstruction method with orthogonal coding apertures
title_auth	A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures
abstract	Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified.
abstractGer	Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified.
abstract_unstemmed	Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified.
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title_short	A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures
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A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures

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