Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times

A method for improving the estimation accuracy of the velocity of cruising ships is proposed using synthetic aperture radar (SAR) sublook images in the spotlight mode. The main purpose of spotlight SAR is to obtain high resolution utilizing longer integration times than those of other imaging modes,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE journal of selected topics in applied earth observations and remote sensing 2021-01, Vol.14, p.11622-11629
Hauptverfasser: Yoshida, Takero, Ouchi, Kazuo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 11629
container_issue
container_start_page 11622
container_title IEEE journal of selected topics in applied earth observations and remote sensing
container_volume 14
creator Yoshida, Takero
Ouchi, Kazuo
description A method for improving the estimation accuracy of the velocity of cruising ships is proposed using synthetic aperture radar (SAR) sublook images in the spotlight mode. The main purpose of spotlight SAR is to obtain high resolution utilizing longer integration times than those of other imaging modes, and the proposed method is based on these long integration times. The principal methodology is to produce successive N sublook images of a cruising ship, where N is more than approximately 10. The positions of the look-1 and look- N subimages differ by a substantial distance proportional to the cruising speed and the long interlook time difference. The distance, and hence the velocity of the cruising ship, can be computed from the cross-correlation function of these two sublook images with improved accuracy compared with other modes. We tested using PALSAR-2 spotlight subimages with N = 2, 10, and 20, and the results are compared with the automatic identification system data. Five images of ships cruising close to the azimuth direction were tested; the best result was obtained for the 10-look images with an average error of 13.8%, followed by 17.9% and 40.5% errors for the 20- and 2-look images, respectively. The reason is also given for the best result of the 10-look case over the 20-look case.
doi_str_mv 10.1109/JSTARS.2021.3127214
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_JSTARS_2021_3127214</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9612066</ieee_id><doaj_id>oai_doaj_org_article_6bf1489b93264e58987a927e3fa93838</doaj_id><sourcerecordid>2601645117</sourcerecordid><originalsourceid>FETCH-LOGICAL-c452t-e41c42e15efe5c37d690f63135aa7c26a2afb2c60267f996813aabf9b352e0ca3</originalsourceid><addsrcrecordid>eNo9UcGO0zAQjRBIlMIX7MUS5xSPnTj1sZQCQZVW2hQ4Wo47bl2SuNguSz-LPyRLltUcRpp5b97TvCy7AboAoPLdl2a3umsWjDJYcGAVg-JZNmNQQg4lL59nM5Bc5lDQ4mX2KsYTpYJVks-yP3V_Dv4X7snKmEvQ5kq8Jd-w88alK9nE5HqdnB-I9YGsw8VFNxxIc3TnSNor2WF_9kF35IOzFgMOBiN5j-kecSC7e082v1PAHklzaTvvf5C614cRMoqstrdNzkhz9qlzh2Mizeru__q7S0ey9aNSPSQ8hMnCzvUYX2cvrO4ivnns8-zrx81u_Tnf3n6q16ttboqSpRwLMAVDKNFiaXi1F5JawYGXWleGCc20bZkRlInKSimWwLVurWx5yZAazedZPd3de31S5zD-IVyV1079G_hwUDokZzpUorVQLGUrORMFlku5rLRkFXKrJV-ONc_eTrfGX_-8YEzq5C9hGO0rJiiIogSoRhSfUCb4GAPaJ1Wg6iFnNeWsHnJWjzmPrJuJ5RDxiSEFMCoE_wvUWqVz</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2601645117</pqid></control><display><type>article</type><title>Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Yoshida, Takero ; Ouchi, Kazuo</creator><creatorcontrib>Yoshida, Takero ; Ouchi, Kazuo</creatorcontrib><description>A method for improving the estimation accuracy of the velocity of cruising ships is proposed using synthetic aperture radar (SAR) sublook images in the spotlight mode. The main purpose of spotlight SAR is to obtain high resolution utilizing longer integration times than those of other imaging modes, and the proposed method is based on these long integration times. The principal methodology is to produce successive N sublook images of a cruising ship, where N is more than approximately 10. The positions of the look-1 and look- N subimages differ by a substantial distance proportional to the cruising speed and the long interlook time difference. The distance, and hence the velocity of the cruising ship, can be computed from the cross-correlation function of these two sublook images with improved accuracy compared with other modes. We tested using PALSAR-2 spotlight subimages with N = 2, 10, and 20, and the results are compared with the automatic identification system data. Five images of ships cruising close to the azimuth direction were tested; the best result was obtained for the 10-look images with an average error of 13.8%, followed by 17.9% and 40.5% errors for the 20- and 2-look images, respectively. The reason is also given for the best result of the 10-look case over the 20-look case.</description><identifier>ISSN: 1939-1404</identifier><identifier>EISSN: 2151-1535</identifier><identifier>DOI: 10.1109/JSTARS.2021.3127214</identifier><identifier>CODEN: IJSTHZ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Accuracy ; Artificial intelligence ; Azimuth ; Cross correlation ; Distance ; Estimation ; Integration ; Marine vehicles ; Radar imaging ; SAR (radar) ; Ships ; Spatial resolution ; Spotlight mode ; sublook processing ; Synthetic aperture radar ; synthetic aperture radar (SAR) ; Velocity ; velocity of cruising ships</subject><ispartof>IEEE journal of selected topics in applied earth observations and remote sensing, 2021-01, Vol.14, p.11622-11629</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c452t-e41c42e15efe5c37d690f63135aa7c26a2afb2c60267f996813aabf9b352e0ca3</citedby><cites>FETCH-LOGICAL-c452t-e41c42e15efe5c37d690f63135aa7c26a2afb2c60267f996813aabf9b352e0ca3</cites><orcidid>0000-0002-3992-8063</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,2096,27901,27902</link.rule.ids></links><search><creatorcontrib>Yoshida, Takero</creatorcontrib><creatorcontrib>Ouchi, Kazuo</creatorcontrib><title>Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times</title><title>IEEE journal of selected topics in applied earth observations and remote sensing</title><addtitle>JSTARS</addtitle><description>A method for improving the estimation accuracy of the velocity of cruising ships is proposed using synthetic aperture radar (SAR) sublook images in the spotlight mode. The main purpose of spotlight SAR is to obtain high resolution utilizing longer integration times than those of other imaging modes, and the proposed method is based on these long integration times. The principal methodology is to produce successive N sublook images of a cruising ship, where N is more than approximately 10. The positions of the look-1 and look- N subimages differ by a substantial distance proportional to the cruising speed and the long interlook time difference. The distance, and hence the velocity of the cruising ship, can be computed from the cross-correlation function of these two sublook images with improved accuracy compared with other modes. We tested using PALSAR-2 spotlight subimages with N = 2, 10, and 20, and the results are compared with the automatic identification system data. Five images of ships cruising close to the azimuth direction were tested; the best result was obtained for the 10-look images with an average error of 13.8%, followed by 17.9% and 40.5% errors for the 20- and 2-look images, respectively. The reason is also given for the best result of the 10-look case over the 20-look case.</description><subject>Accuracy</subject><subject>Artificial intelligence</subject><subject>Azimuth</subject><subject>Cross correlation</subject><subject>Distance</subject><subject>Estimation</subject><subject>Integration</subject><subject>Marine vehicles</subject><subject>Radar imaging</subject><subject>SAR (radar)</subject><subject>Ships</subject><subject>Spatial resolution</subject><subject>Spotlight mode</subject><subject>sublook processing</subject><subject>Synthetic aperture radar</subject><subject>synthetic aperture radar (SAR)</subject><subject>Velocity</subject><subject>velocity of cruising ships</subject><issn>1939-1404</issn><issn>2151-1535</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNo9UcGO0zAQjRBIlMIX7MUS5xSPnTj1sZQCQZVW2hQ4Wo47bl2SuNguSz-LPyRLltUcRpp5b97TvCy7AboAoPLdl2a3umsWjDJYcGAVg-JZNmNQQg4lL59nM5Bc5lDQ4mX2KsYTpYJVks-yP3V_Dv4X7snKmEvQ5kq8Jd-w88alK9nE5HqdnB-I9YGsw8VFNxxIc3TnSNor2WF_9kF35IOzFgMOBiN5j-kecSC7e082v1PAHklzaTvvf5C614cRMoqstrdNzkhz9qlzh2Mizeru__q7S0ey9aNSPSQ8hMnCzvUYX2cvrO4ivnns8-zrx81u_Tnf3n6q16ttboqSpRwLMAVDKNFiaXi1F5JawYGXWleGCc20bZkRlInKSimWwLVurWx5yZAazedZPd3de31S5zD-IVyV1079G_hwUDokZzpUorVQLGUrORMFlku5rLRkFXKrJV-ONc_eTrfGX_-8YEzq5C9hGO0rJiiIogSoRhSfUCb4GAPaJ1Wg6iFnNeWsHnJWjzmPrJuJ5RDxiSEFMCoE_wvUWqVz</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Yoshida, Takero</creator><creator>Ouchi, Kazuo</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</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><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3992-8063</orcidid></search><sort><creationdate>20210101</creationdate><title>Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times</title><author>Yoshida, Takero ; Ouchi, Kazuo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c452t-e41c42e15efe5c37d690f63135aa7c26a2afb2c60267f996813aabf9b352e0ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accuracy</topic><topic>Artificial intelligence</topic><topic>Azimuth</topic><topic>Cross correlation</topic><topic>Distance</topic><topic>Estimation</topic><topic>Integration</topic><topic>Marine vehicles</topic><topic>Radar imaging</topic><topic>SAR (radar)</topic><topic>Ships</topic><topic>Spatial resolution</topic><topic>Spotlight mode</topic><topic>sublook processing</topic><topic>Synthetic aperture radar</topic><topic>synthetic aperture radar (SAR)</topic><topic>Velocity</topic><topic>velocity of cruising ships</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yoshida, Takero</creatorcontrib><creatorcontrib>Ouchi, Kazuo</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</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 &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE journal of selected topics in applied earth observations and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yoshida, Takero</au><au>Ouchi, Kazuo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times</atitle><jtitle>IEEE journal of selected topics in applied earth observations and remote sensing</jtitle><stitle>JSTARS</stitle><date>2021-01-01</date><risdate>2021</risdate><volume>14</volume><spage>11622</spage><epage>11629</epage><pages>11622-11629</pages><issn>1939-1404</issn><eissn>2151-1535</eissn><coden>IJSTHZ</coden><abstract>A method for improving the estimation accuracy of the velocity of cruising ships is proposed using synthetic aperture radar (SAR) sublook images in the spotlight mode. The main purpose of spotlight SAR is to obtain high resolution utilizing longer integration times than those of other imaging modes, and the proposed method is based on these long integration times. The principal methodology is to produce successive N sublook images of a cruising ship, where N is more than approximately 10. The positions of the look-1 and look- N subimages differ by a substantial distance proportional to the cruising speed and the long interlook time difference. The distance, and hence the velocity of the cruising ship, can be computed from the cross-correlation function of these two sublook images with improved accuracy compared with other modes. We tested using PALSAR-2 spotlight subimages with N = 2, 10, and 20, and the results are compared with the automatic identification system data. Five images of ships cruising close to the azimuth direction were tested; the best result was obtained for the 10-look images with an average error of 13.8%, followed by 17.9% and 40.5% errors for the 20- and 2-look images, respectively. The reason is also given for the best result of the 10-look case over the 20-look case.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/JSTARS.2021.3127214</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-3992-8063</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1939-1404
ispartof IEEE journal of selected topics in applied earth observations and remote sensing, 2021-01, Vol.14, p.11622-11629
issn 1939-1404
2151-1535
language eng
recordid cdi_crossref_primary_10_1109_JSTARS_2021_3127214
source DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Accuracy
Artificial intelligence
Azimuth
Cross correlation
Distance
Estimation
Integration
Marine vehicles
Radar imaging
SAR (radar)
Ships
Spatial resolution
Spotlight mode
sublook processing
Synthetic aperture radar
synthetic aperture radar (SAR)
Velocity
velocity of cruising ships
title Improved Accuracy of Velocity Estimation for Cruising Ships by Temporal Differences Between Two Extreme Sublook Images of ALOS-2 Spotlight SAR Images With Long Integration Times
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T13%3A51%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Improved%20Accuracy%20of%20Velocity%20Estimation%20for%20Cruising%20Ships%20by%20Temporal%20Differences%20Between%20Two%20Extreme%20Sublook%20Images%20of%20ALOS-2%20Spotlight%20SAR%20Images%20With%20Long%20Integration%20Times&rft.jtitle=IEEE%20journal%20of%20selected%20topics%20in%20applied%20earth%20observations%20and%20remote%20sensing&rft.au=Yoshida,%20Takero&rft.date=2021-01-01&rft.volume=14&rft.spage=11622&rft.epage=11629&rft.pages=11622-11629&rft.issn=1939-1404&rft.eissn=2151-1535&rft.coden=IJSTHZ&rft_id=info:doi/10.1109/JSTARS.2021.3127214&rft_dat=%3Cproquest_cross%3E2601645117%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2601645117&rft_id=info:pmid/&rft_ieee_id=9612066&rft_doaj_id=oai_doaj_org_article_6bf1489b93264e58987a927e3fa93838&rfr_iscdi=true