A Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Data
A statistical model for multilook polarimetric radar data is presented where the polarimetric channels are associated with individual texture variables having potentially different statistical properties. The feasibility of producing closed-form probability density functions under certain restrictio...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2014-05, Vol.52 (5), p.2910-2919 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2919 |
|---|---|
| container_issue | 5 |
| container_start_page | 2910 |
| container_title | IEEE transactions on geoscience and remote sensing |
| container_volume | 52 |
| creator | Eltoft, Torbjorn Anfinsen, Stian Normann Doulgeris, Anthony P. |
| description | A statistical model for multilook polarimetric radar data is presented where the polarimetric channels are associated with individual texture variables having potentially different statistical properties. The feasibility of producing closed-form probability density functions under certain restrictions is outlined. Mellin kind statistics is derived under various assumptions on the texture variables, and the potential for model fit assessment and hypothesis testing in the Mellin domain is demonstrated. Application to real data proves the usefulness of the analytic approach. |
| doi_str_mv | 10.1109/TGRS.2013.2267615 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_1770315785</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6558512</ieee_id><sourcerecordid>1541430032</sourcerecordid><originalsourceid>FETCH-LOGICAL-c455t-f8ee1189e396ad55264b9f5bbd7e405e9a47a06c2107fffad513737411696183</originalsourceid><addsrcrecordid>eNqFkc1qGzEUhUVJoE7SByiFMBAC2Yyrq9-ZpUnatBDTEnsv5PEVGXc8ciUNNG8fTex6kU1WEtJ3js7VIeQz0CkArb8u7x8XU0aBTxlTWoH8QCYgZVVSJcQJmVCoVcmqmn0kZzFuKAUhQU_IfFbMhy61Cf-lIWAx92vsCufD_rjz_k_x23c2tFtMoW2KxXOfnjDl3WyH4VXzaNc2FHc22Qty6mwX8dNhPSfL79-Wtz_Kh1_3P29nD2UjpEylqxABqhp5rexaSqbEqnZytVprFFRibYW2VDUMqHbOZQS45loAqFpBxc_J5d62CW1MbW96H6wBSrk2UrERuNkDu-D_DhiT2baxwa6zPfohGtCacpC6ku-jUoDg2Zpl9OoNuvFD6POgmQI2xqt0puB_OB9jQGd2-fNseM4BzdiVGbsyY1fm0FXWXB-cbWxs54LtmzYehawSeW7GM_dlz7WIeLxWuef8Pn8B2UGZZQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1512411687</pqid></control><display><type>article</type><title>A Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Data</title><source>IEEE Electronic Library (IEL)</source><creator>Eltoft, Torbjorn ; Anfinsen, Stian Normann ; Doulgeris, Anthony P.</creator><creatorcontrib>Eltoft, Torbjorn ; Anfinsen, Stian Normann ; Doulgeris, Anthony P.</creatorcontrib><description>A statistical model for multilook polarimetric radar data is presented where the polarimetric channels are associated with individual texture variables having potentially different statistical properties. The feasibility of producing closed-form probability density functions under certain restrictions is outlined. Mellin kind statistics is derived under various assumptions on the texture variables, and the potential for model fit assessment and hypothesis testing in the Mellin domain is demonstrated. Application to real data proves the usefulness of the analytic approach.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2013.2267615</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Analytical models ; Applied geophysics ; Assessments ; Channels ; Covariance matrices ; Data models ; Earth sciences ; Earth, ocean, space ; Electromagnetism, acoustics, optics: 434 ; Elektromagnetisme, akustikk, optikk: 434 ; Exact sciences and technology ; Exact solutions ; Fysikk: 430 ; Internal geophysics ; Matematikk og Naturvitenskap: 400 ; Mathematical analysis ; Mathematical models ; Mathematics and natural science: 400 ; Physics: 430 ; Probability density functions (pdfs) ; radar polarimetry ; Speckle ; Statistics ; Surface layer ; Synthetic aperture radar ; synthetic aperture radar (SAR) ; Texture ; texture modeling ; VDP ; Vectors</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2014-05, Vol.52 (5), p.2910-2919</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) May 2014</rights><rights>info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-f8ee1189e396ad55264b9f5bbd7e405e9a47a06c2107fffad513737411696183</citedby><cites>FETCH-LOGICAL-c455t-f8ee1189e396ad55264b9f5bbd7e405e9a47a06c2107fffad513737411696183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6558512$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,776,780,792,881,26546,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6558512$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28496123$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Eltoft, Torbjorn</creatorcontrib><creatorcontrib>Anfinsen, Stian Normann</creatorcontrib><creatorcontrib>Doulgeris, Anthony P.</creatorcontrib><title>A Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Data</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>A statistical model for multilook polarimetric radar data is presented where the polarimetric channels are associated with individual texture variables having potentially different statistical properties. The feasibility of producing closed-form probability density functions under certain restrictions is outlined. Mellin kind statistics is derived under various assumptions on the texture variables, and the potential for model fit assessment and hypothesis testing in the Mellin domain is demonstrated. Application to real data proves the usefulness of the analytic approach.</description><subject>Analytical models</subject><subject>Applied geophysics</subject><subject>Assessments</subject><subject>Channels</subject><subject>Covariance matrices</subject><subject>Data models</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Electromagnetism, acoustics, optics: 434</subject><subject>Elektromagnetisme, akustikk, optikk: 434</subject><subject>Exact sciences and technology</subject><subject>Exact solutions</subject><subject>Fysikk: 430</subject><subject>Internal geophysics</subject><subject>Matematikk og Naturvitenskap: 400</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Mathematics and natural science: 400</subject><subject>Physics: 430</subject><subject>Probability density functions (pdfs)</subject><subject>radar polarimetry</subject><subject>Speckle</subject><subject>Statistics</subject><subject>Surface layer</subject><subject>Synthetic aperture radar</subject><subject>synthetic aperture radar (SAR)</subject><subject>Texture</subject><subject>texture modeling</subject><subject>VDP</subject><subject>Vectors</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>3HK</sourceid><recordid>eNqFkc1qGzEUhUVJoE7SByiFMBAC2Yyrq9-ZpUnatBDTEnsv5PEVGXc8ciUNNG8fTex6kU1WEtJ3js7VIeQz0CkArb8u7x8XU0aBTxlTWoH8QCYgZVVSJcQJmVCoVcmqmn0kZzFuKAUhQU_IfFbMhy61Cf-lIWAx92vsCufD_rjz_k_x23c2tFtMoW2KxXOfnjDl3WyH4VXzaNc2FHc22Qty6mwX8dNhPSfL79-Wtz_Kh1_3P29nD2UjpEylqxABqhp5rexaSqbEqnZytVprFFRibYW2VDUMqHbOZQS45loAqFpBxc_J5d62CW1MbW96H6wBSrk2UrERuNkDu-D_DhiT2baxwa6zPfohGtCacpC6ku-jUoDg2Zpl9OoNuvFD6POgmQI2xqt0puB_OB9jQGd2-fNseM4BzdiVGbsyY1fm0FXWXB-cbWxs54LtmzYehawSeW7GM_dlz7WIeLxWuef8Pn8B2UGZZQ</recordid><startdate>20140501</startdate><enddate>20140501</enddate><creator>Eltoft, Torbjorn</creator><creator>Anfinsen, Stian Normann</creator><creator>Doulgeris, Anthony P.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><general>IEEE Xplore</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><scope>7SP</scope><scope>F28</scope><scope>3HK</scope></search><sort><creationdate>20140501</creationdate><title>A Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Data</title><author>Eltoft, Torbjorn ; Anfinsen, Stian Normann ; Doulgeris, Anthony P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-f8ee1189e396ad55264b9f5bbd7e405e9a47a06c2107fffad513737411696183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Analytical models</topic><topic>Applied geophysics</topic><topic>Assessments</topic><topic>Channels</topic><topic>Covariance matrices</topic><topic>Data models</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Electromagnetism, acoustics, optics: 434</topic><topic>Elektromagnetisme, akustikk, optikk: 434</topic><topic>Exact sciences and technology</topic><topic>Exact solutions</topic><topic>Fysikk: 430</topic><topic>Internal geophysics</topic><topic>Matematikk og Naturvitenskap: 400</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Mathematics and natural science: 400</topic><topic>Physics: 430</topic><topic>Probability density functions (pdfs)</topic><topic>radar polarimetry</topic><topic>Speckle</topic><topic>Statistics</topic><topic>Surface layer</topic><topic>Synthetic aperture radar</topic><topic>synthetic aperture radar (SAR)</topic><topic>Texture</topic><topic>texture modeling</topic><topic>VDP</topic><topic>Vectors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Eltoft, Torbjorn</creatorcontrib><creatorcontrib>Anfinsen, Stian Normann</creatorcontrib><creatorcontrib>Doulgeris, Anthony P.</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><collection>Electronics & Communications Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>NORA - Norwegian Open Research Archives</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Eltoft, Torbjorn</au><au>Anfinsen, Stian Normann</au><au>Doulgeris, Anthony P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Data</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2014-05-01</date><risdate>2014</risdate><volume>52</volume><issue>5</issue><spage>2910</spage><epage>2919</epage><pages>2910-2919</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>A statistical model for multilook polarimetric radar data is presented where the polarimetric channels are associated with individual texture variables having potentially different statistical properties. The feasibility of producing closed-form probability density functions under certain restrictions is outlined. Mellin kind statistics is derived under various assumptions on the texture variables, and the potential for model fit assessment and hypothesis testing in the Mellin domain is demonstrated. Application to real data proves the usefulness of the analytic approach.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TGRS.2013.2267615</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0196-2892 |
| ispartof | IEEE transactions on geoscience and remote sensing, 2014-05, Vol.52 (5), p.2910-2919 |
| issn | 0196-2892 1558-0644 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1770315785 |
| source | IEEE Electronic Library (IEL) |
| subjects | Analytical models Applied geophysics Assessments Channels Covariance matrices Data models Earth sciences Earth, ocean, space Electromagnetism, acoustics, optics: 434 Elektromagnetisme, akustikk, optikk: 434 Exact sciences and technology Exact solutions Fysikk: 430 Internal geophysics Matematikk og Naturvitenskap: 400 Mathematical analysis Mathematical models Mathematics and natural science: 400 Physics: 430 Probability density functions (pdfs) radar polarimetry Speckle Statistics Surface layer Synthetic aperture radar synthetic aperture radar (SAR) Texture texture modeling VDP Vectors |
| title | A Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Data |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T06%3A55%3A17IST&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=A%20Multitexture%20Model%20for%20Multilook%20Polarimetric%20Synthetic%20Aperture%20Radar%20Data&rft.jtitle=IEEE%20transactions%20on%20geoscience%20and%20remote%20sensing&rft.au=Eltoft,%20Torbjorn&rft.date=2014-05-01&rft.volume=52&rft.issue=5&rft.spage=2910&rft.epage=2919&rft.pages=2910-2919&rft.issn=0196-2892&rft.eissn=1558-0644&rft.coden=IGRSD2&rft_id=info:doi/10.1109/TGRS.2013.2267615&rft_dat=%3Cproquest_RIE%3E1541430032%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=1512411687&rft_id=info:pmid/&rft_ieee_id=6558512&rfr_iscdi=true |