Analysis on the Resolution of Polarimetric Radar and Performance Evaluation of the Polarimetric Bandwidth Extrapolation Method
Polarimetric radar provides useful information on scattering mechanisms, and advances in polarimetric synthetic aperture radar (POLSAR) technology have shown the effect of polarization information on various applications. The disadvantage of POLSAR is low azimuth resolution capability. Since the eff...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2013-07, Vol.51 (7), p.4260-4278 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 4278 |
---|---|
container_issue | 7 |
container_start_page | 4260 |
container_title | IEEE transactions on geoscience and remote sensing |
container_volume | 51 |
creator | Suwa, Kei Iwamoto, M. Wakayama, T. |
description | Polarimetric radar provides useful information on scattering mechanisms, and advances in polarimetric synthetic aperture radar (POLSAR) technology have shown the effect of polarization information on various applications. The disadvantage of POLSAR is low azimuth resolution capability. Since the effective pulse repetition frequency (PRF) in each polarimetric channel of POLSAR is half the total PRF, the resolution is twice as low as the single-polarization SAR. This drawback may be mitigated by employing a superresolution method designed for polarimetric radar such as polarimetric bandwidth extrapolation (PBWE), previously proposed by the authors. Thus far, the authors only empirically showed that polarization information helps in improving resolution via numerical simulations. In this paper, theoretical analysis on the resolution of a polarimetric radar is provided. Along with the resolution, estimation accuracy of the polarization property of the target is studied. In the analysis, we employ the recently proposed metric called the statistical resolution limit (SRL) that provides the highest resolution achievable by any unbiased parametric spectral estimator. The SRL of polarimetric radar is derived and compared with that of single-polarization radar. The Cramér-Rao bound (CRB) of the polarization estimation error of the polarimetric radar is also derived. The complexified full Fisher information matrix and the CRBs of signal parameters are derived first for the general multichannel signal in nonwhite Gaussian noise. Then, the SRL and the polarization estimation error are derived using the CRBs of signal parameters for the cases where two point targets are closely located. It is shown analytically and numerically that the polarization information helps in improving the SRL. It is also shown that the polarimetric processing significantly improves the accuracy of the polarization estimation when two targets are located closer than the Fourier resolution cell. Finally, the performance of the PBWE is evaluated via simulations and is compared to the SRL and the CRB for the polarization estimation. |
doi_str_mv | 10.1109/TGRS.2012.2230007 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_1371228771</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6423896</ieee_id><sourcerecordid>3004662001</sourcerecordid><originalsourceid>FETCH-LOGICAL-c356t-7fb8acdea7067d84a5aae48b0862356c046d06f903e1f4c77fb3d1edf85fc7ee3</originalsourceid><addsrcrecordid>eNpVkE1rGzEQhkVpoW7aHxByEYQe1xlJu5L2mAbnA1Ia3PS8TKQR3rCxXGmdNpf89mhjN9DTMMzzvjAPY4cC5kJAe3J7sfw5lyDkXEoFAOYdm4mmsRXoun7PZiBaXUnbyo_sU873AKJuhJmx59M1Dk-5zzyu-bgivqQch-3YlzUGfhMHTP0Djal3fIkeE8e15zeUQkwPuHbEF484bPFfYKr4L_St8H96P6744u-YcFNur-x3GlfRf2YfAg6ZvuznAft1vrg9u6yuf1xcnZ1eV041eqxMuLPoPKEBbbytsUGk2t6B1bIADmrtQYcWFIlQO1N45QX5YJvgDJE6YMe73k2Kv7eUx-4-blN5PXdCGSGlNUYUSuwol2LOiUK3KX9geuoEdJPmbtLcTZq7veaS-bpvxuxwCKlI6fNbUJpGQWMn7mjH9UT0dta1VLbV6gXKmYi1</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1371228771</pqid></control><display><type>article</type><title>Analysis on the Resolution of Polarimetric Radar and Performance Evaluation of the Polarimetric Bandwidth Extrapolation Method</title><source>IEEE Electronic Library (IEL)</source><creator>Suwa, Kei ; Iwamoto, M. ; Wakayama, T.</creator><creatorcontrib>Suwa, Kei ; Iwamoto, M. ; Wakayama, T.</creatorcontrib><description>Polarimetric radar provides useful information on scattering mechanisms, and advances in polarimetric synthetic aperture radar (POLSAR) technology have shown the effect of polarization information on various applications. The disadvantage of POLSAR is low azimuth resolution capability. Since the effective pulse repetition frequency (PRF) in each polarimetric channel of POLSAR is half the total PRF, the resolution is twice as low as the single-polarization SAR. This drawback may be mitigated by employing a superresolution method designed for polarimetric radar such as polarimetric bandwidth extrapolation (PBWE), previously proposed by the authors. Thus far, the authors only empirically showed that polarization information helps in improving resolution via numerical simulations. In this paper, theoretical analysis on the resolution of a polarimetric radar is provided. Along with the resolution, estimation accuracy of the polarization property of the target is studied. In the analysis, we employ the recently proposed metric called the statistical resolution limit (SRL) that provides the highest resolution achievable by any unbiased parametric spectral estimator. The SRL of polarimetric radar is derived and compared with that of single-polarization radar. The Cramér-Rao bound (CRB) of the polarization estimation error of the polarimetric radar is also derived. The complexified full Fisher information matrix and the CRBs of signal parameters are derived first for the general multichannel signal in nonwhite Gaussian noise. Then, the SRL and the polarization estimation error are derived using the CRBs of signal parameters for the cases where two point targets are closely located. It is shown analytically and numerically that the polarization information helps in improving the SRL. It is also shown that the polarimetric processing significantly improves the accuracy of the polarization estimation when two targets are located closer than the Fourier resolution cell. Finally, the performance of the PBWE is evaluated via simulations and is compared to the SRL and the CRB for the polarization estimation.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2012.2230007</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied geophysics ; Average Cramér-Rao bound (CRB) ; Bandwidth ; CRB ; Earth sciences ; Earth, ocean, space ; Estimation ; Exact sciences and technology ; Fisher information ; hybrid CRB ; Image resolution ; Internal geophysics ; multichannel signal ; parametric spectral analysis ; polarimetric bandwidth extrapolation (PBWE) ; polarimetric synthetic aperture radar (POLSAR) ; polarimetry ; polarization ; radar ; Radar polarimetry ; resolution ; Signal resolution ; statistical resolution limit (SRL) ; superresolution ; Synthetic aperture radar ; synthetic aperture radar (SAR)</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2013-07, Vol.51 (7), p.4260-4278</ispartof><rights>2014 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jul 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-7fb8acdea7067d84a5aae48b0862356c046d06f903e1f4c77fb3d1edf85fc7ee3</citedby><cites>FETCH-LOGICAL-c356t-7fb8acdea7067d84a5aae48b0862356c046d06f903e1f4c77fb3d1edf85fc7ee3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6423896$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6423896$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27530587$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Suwa, Kei</creatorcontrib><creatorcontrib>Iwamoto, M.</creatorcontrib><creatorcontrib>Wakayama, T.</creatorcontrib><title>Analysis on the Resolution of Polarimetric Radar and Performance Evaluation of the Polarimetric Bandwidth Extrapolation Method</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>Polarimetric radar provides useful information on scattering mechanisms, and advances in polarimetric synthetic aperture radar (POLSAR) technology have shown the effect of polarization information on various applications. The disadvantage of POLSAR is low azimuth resolution capability. Since the effective pulse repetition frequency (PRF) in each polarimetric channel of POLSAR is half the total PRF, the resolution is twice as low as the single-polarization SAR. This drawback may be mitigated by employing a superresolution method designed for polarimetric radar such as polarimetric bandwidth extrapolation (PBWE), previously proposed by the authors. Thus far, the authors only empirically showed that polarization information helps in improving resolution via numerical simulations. In this paper, theoretical analysis on the resolution of a polarimetric radar is provided. Along with the resolution, estimation accuracy of the polarization property of the target is studied. In the analysis, we employ the recently proposed metric called the statistical resolution limit (SRL) that provides the highest resolution achievable by any unbiased parametric spectral estimator. The SRL of polarimetric radar is derived and compared with that of single-polarization radar. The Cramér-Rao bound (CRB) of the polarization estimation error of the polarimetric radar is also derived. The complexified full Fisher information matrix and the CRBs of signal parameters are derived first for the general multichannel signal in nonwhite Gaussian noise. Then, the SRL and the polarization estimation error are derived using the CRBs of signal parameters for the cases where two point targets are closely located. It is shown analytically and numerically that the polarization information helps in improving the SRL. It is also shown that the polarimetric processing significantly improves the accuracy of the polarization estimation when two targets are located closer than the Fourier resolution cell. Finally, the performance of the PBWE is evaluated via simulations and is compared to the SRL and the CRB for the polarization estimation.</description><subject>Applied geophysics</subject><subject>Average Cramér-Rao bound (CRB)</subject><subject>Bandwidth</subject><subject>CRB</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Estimation</subject><subject>Exact sciences and technology</subject><subject>Fisher information</subject><subject>hybrid CRB</subject><subject>Image resolution</subject><subject>Internal geophysics</subject><subject>multichannel signal</subject><subject>parametric spectral analysis</subject><subject>polarimetric bandwidth extrapolation (PBWE)</subject><subject>polarimetric synthetic aperture radar (POLSAR)</subject><subject>polarimetry</subject><subject>polarization</subject><subject>radar</subject><subject>Radar polarimetry</subject><subject>resolution</subject><subject>Signal resolution</subject><subject>statistical resolution limit (SRL)</subject><subject>superresolution</subject><subject>Synthetic aperture radar</subject><subject>synthetic aperture radar (SAR)</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpVkE1rGzEQhkVpoW7aHxByEYQe1xlJu5L2mAbnA1Ia3PS8TKQR3rCxXGmdNpf89mhjN9DTMMzzvjAPY4cC5kJAe3J7sfw5lyDkXEoFAOYdm4mmsRXoun7PZiBaXUnbyo_sU873AKJuhJmx59M1Dk-5zzyu-bgivqQch-3YlzUGfhMHTP0Djal3fIkeE8e15zeUQkwPuHbEF484bPFfYKr4L_St8H96P6744u-YcFNur-x3GlfRf2YfAg6ZvuznAft1vrg9u6yuf1xcnZ1eV041eqxMuLPoPKEBbbytsUGk2t6B1bIADmrtQYcWFIlQO1N45QX5YJvgDJE6YMe73k2Kv7eUx-4-blN5PXdCGSGlNUYUSuwol2LOiUK3KX9geuoEdJPmbtLcTZq7veaS-bpvxuxwCKlI6fNbUJpGQWMn7mjH9UT0dta1VLbV6gXKmYi1</recordid><startdate>20130701</startdate><enddate>20130701</enddate><creator>Suwa, Kei</creator><creator>Iwamoto, M.</creator><creator>Wakayama, T.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope></search><sort><creationdate>20130701</creationdate><title>Analysis on the Resolution of Polarimetric Radar and Performance Evaluation of the Polarimetric Bandwidth Extrapolation Method</title><author>Suwa, Kei ; Iwamoto, M. ; Wakayama, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-7fb8acdea7067d84a5aae48b0862356c046d06f903e1f4c77fb3d1edf85fc7ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied geophysics</topic><topic>Average Cramér-Rao bound (CRB)</topic><topic>Bandwidth</topic><topic>CRB</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Estimation</topic><topic>Exact sciences and technology</topic><topic>Fisher information</topic><topic>hybrid CRB</topic><topic>Image resolution</topic><topic>Internal geophysics</topic><topic>multichannel signal</topic><topic>parametric spectral analysis</topic><topic>polarimetric bandwidth extrapolation (PBWE)</topic><topic>polarimetric synthetic aperture radar (POLSAR)</topic><topic>polarimetry</topic><topic>polarization</topic><topic>radar</topic><topic>Radar polarimetry</topic><topic>resolution</topic><topic>Signal resolution</topic><topic>statistical resolution limit (SRL)</topic><topic>superresolution</topic><topic>Synthetic aperture radar</topic><topic>synthetic aperture radar (SAR)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suwa, Kei</creatorcontrib><creatorcontrib>Iwamoto, M.</creatorcontrib><creatorcontrib>Wakayama, T.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Suwa, Kei</au><au>Iwamoto, M.</au><au>Wakayama, T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis on the Resolution of Polarimetric Radar and Performance Evaluation of the Polarimetric Bandwidth Extrapolation Method</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2013-07-01</date><risdate>2013</risdate><volume>51</volume><issue>7</issue><spage>4260</spage><epage>4278</epage><pages>4260-4278</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>Polarimetric radar provides useful information on scattering mechanisms, and advances in polarimetric synthetic aperture radar (POLSAR) technology have shown the effect of polarization information on various applications. The disadvantage of POLSAR is low azimuth resolution capability. Since the effective pulse repetition frequency (PRF) in each polarimetric channel of POLSAR is half the total PRF, the resolution is twice as low as the single-polarization SAR. This drawback may be mitigated by employing a superresolution method designed for polarimetric radar such as polarimetric bandwidth extrapolation (PBWE), previously proposed by the authors. Thus far, the authors only empirically showed that polarization information helps in improving resolution via numerical simulations. In this paper, theoretical analysis on the resolution of a polarimetric radar is provided. Along with the resolution, estimation accuracy of the polarization property of the target is studied. In the analysis, we employ the recently proposed metric called the statistical resolution limit (SRL) that provides the highest resolution achievable by any unbiased parametric spectral estimator. The SRL of polarimetric radar is derived and compared with that of single-polarization radar. The Cramér-Rao bound (CRB) of the polarization estimation error of the polarimetric radar is also derived. The complexified full Fisher information matrix and the CRBs of signal parameters are derived first for the general multichannel signal in nonwhite Gaussian noise. Then, the SRL and the polarization estimation error are derived using the CRBs of signal parameters for the cases where two point targets are closely located. It is shown analytically and numerically that the polarization information helps in improving the SRL. It is also shown that the polarimetric processing significantly improves the accuracy of the polarization estimation when two targets are located closer than the Fourier resolution cell. Finally, the performance of the PBWE is evaluated via simulations and is compared to the SRL and the CRB for the polarization estimation.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TGRS.2012.2230007</doi><tpages>19</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0196-2892 |
ispartof | IEEE transactions on geoscience and remote sensing, 2013-07, Vol.51 (7), p.4260-4278 |
issn | 0196-2892 1558-0644 |
language | eng |
recordid | cdi_proquest_journals_1371228771 |
source | IEEE Electronic Library (IEL) |
subjects | Applied geophysics Average Cramér-Rao bound (CRB) Bandwidth CRB Earth sciences Earth, ocean, space Estimation Exact sciences and technology Fisher information hybrid CRB Image resolution Internal geophysics multichannel signal parametric spectral analysis polarimetric bandwidth extrapolation (PBWE) polarimetric synthetic aperture radar (POLSAR) polarimetry polarization radar Radar polarimetry resolution Signal resolution statistical resolution limit (SRL) superresolution Synthetic aperture radar synthetic aperture radar (SAR) |
title | Analysis on the Resolution of Polarimetric Radar and Performance Evaluation of the Polarimetric Bandwidth Extrapolation Method |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T05%3A43%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20on%20the%20Resolution%20of%20Polarimetric%20Radar%20and%20Performance%20Evaluation%20of%20the%20Polarimetric%20Bandwidth%20Extrapolation%20Method&rft.jtitle=IEEE%20transactions%20on%20geoscience%20and%20remote%20sensing&rft.au=Suwa,%20Kei&rft.date=2013-07-01&rft.volume=51&rft.issue=7&rft.spage=4260&rft.epage=4278&rft.pages=4260-4278&rft.issn=0196-2892&rft.eissn=1558-0644&rft.coden=IGRSD2&rft_id=info:doi/10.1109/TGRS.2012.2230007&rft_dat=%3Cproquest_RIE%3E3004662001%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1371228771&rft_id=info:pmid/&rft_ieee_id=6423896&rfr_iscdi=true |