Modified Three-Component Decomposition Method for Polarimetric SAR Data
In this letter, a modified three-component model-based decomposition method is proposed to solve the problem of instability present in the Freeman decomposition method. We incorporate the similarity parameter and introduce a new constraint that describes the relationship between the powers of scatte...
Gespeichert in:
Veröffentlicht in: | IEEE geoscience and remote sensing letters 2014-01, Vol.11 (1), p.200-204 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 204 |
---|---|
container_issue | 1 |
container_start_page | 200 |
container_title | IEEE geoscience and remote sensing letters |
container_volume | 11 |
creator | Jiao, Zhihao Yang, Jian Yeh, Chunmao Song, Jianshe |
description | In this letter, a modified three-component model-based decomposition method is proposed to solve the problem of instability present in the Freeman decomposition method. We incorporate the similarity parameter and introduce a new constraint that describes the relationship between the powers of scattering components. The proposed method minimizes a continuous objective function under a set of constraints, which results in the stability of the decomposition method. Furthermore, a fast algorithm for solving the optimization problem is developed to accelerate computation. We demonstrate the stability of the proposed decomposition method by using the E-SAR polarimetric data acquired over the Oberpfaffenhofen area. |
doi_str_mv | 10.1109/LGRS.2013.2252876 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_LGRS_2013_2252876</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6515607</ieee_id><sourcerecordid>3123865651</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-cda4854126d0e8995abf49ddfd2ad0d6793c950f288a6c6dfe2528516f8222733</originalsourceid><addsrcrecordid>eNo9kEtPAkEQhCdGExH9AcbLJp4X5_04ElA0gWgAE2-TcaYnLIEdnF0O_nt3A_HUdajq7voQuid4RAg2T_PZcjWimLARpYJqJS_QgAihSywUuew1F6Uw-usa3TTNFmPKtVYDNFukUMUKQrHeZIBykvaHVEPdFlPwvW6qtkp1sYB2k0IRUy4-0s7lag9trnyxGi-LqWvdLbqKbtfA3XkO0efL83ryWs7fZ2-T8bz0TJi29MFxLTihMmDQxgj3HbkJIQbqAg5SGeaNwJFq7aSXIULfRhAZNaVUMTZEj6e9h5x-jtC0dpuOue5OWsK5MYxxJTsXObl8Tk2TIdpD97HLv5Zg2_OyPS_b87JnXl3m4ZSpAODfLwUREiv2B8jZZec</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1449933476</pqid></control><display><type>article</type><title>Modified Three-Component Decomposition Method for Polarimetric SAR Data</title><source>IEEE Xplore</source><creator>Jiao, Zhihao ; Yang, Jian ; Yeh, Chunmao ; Song, Jianshe</creator><creatorcontrib>Jiao, Zhihao ; Yang, Jian ; Yeh, Chunmao ; Song, Jianshe</creatorcontrib><description>In this letter, a modified three-component model-based decomposition method is proposed to solve the problem of instability present in the Freeman decomposition method. We incorporate the similarity parameter and introduce a new constraint that describes the relationship between the powers of scattering components. The proposed method minimizes a continuous objective function under a set of constraints, which results in the stability of the decomposition method. Furthermore, a fast algorithm for solving the optimization problem is developed to accelerate computation. We demonstrate the stability of the proposed decomposition method by using the E-SAR polarimetric data acquired over the Oberpfaffenhofen area.</description><identifier>ISSN: 1545-598X</identifier><identifier>EISSN: 1558-0571</identifier><identifier>DOI: 10.1109/LGRS.2013.2252876</identifier><identifier>CODEN: IGRSBY</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Linear programming ; Mathematical model ; Matrix decomposition ; Model-based polarimetric decomposition ; Optimization ; radar polarimetry ; Scattering ; similarity parameter ; Stability analysis ; stable decomposition ; Synthetic aperture radar</subject><ispartof>IEEE geoscience and remote sensing letters, 2014-01, Vol.11 (1), p.200-204</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jan 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-cda4854126d0e8995abf49ddfd2ad0d6793c950f288a6c6dfe2528516f8222733</citedby><cites>FETCH-LOGICAL-c359t-cda4854126d0e8995abf49ddfd2ad0d6793c950f288a6c6dfe2528516f8222733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6515607$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6515607$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jiao, Zhihao</creatorcontrib><creatorcontrib>Yang, Jian</creatorcontrib><creatorcontrib>Yeh, Chunmao</creatorcontrib><creatorcontrib>Song, Jianshe</creatorcontrib><title>Modified Three-Component Decomposition Method for Polarimetric SAR Data</title><title>IEEE geoscience and remote sensing letters</title><addtitle>LGRS</addtitle><description>In this letter, a modified three-component model-based decomposition method is proposed to solve the problem of instability present in the Freeman decomposition method. We incorporate the similarity parameter and introduce a new constraint that describes the relationship between the powers of scattering components. The proposed method minimizes a continuous objective function under a set of constraints, which results in the stability of the decomposition method. Furthermore, a fast algorithm for solving the optimization problem is developed to accelerate computation. We demonstrate the stability of the proposed decomposition method by using the E-SAR polarimetric data acquired over the Oberpfaffenhofen area.</description><subject>Linear programming</subject><subject>Mathematical model</subject><subject>Matrix decomposition</subject><subject>Model-based polarimetric decomposition</subject><subject>Optimization</subject><subject>radar polarimetry</subject><subject>Scattering</subject><subject>similarity parameter</subject><subject>Stability analysis</subject><subject>stable decomposition</subject><subject>Synthetic aperture radar</subject><issn>1545-598X</issn><issn>1558-0571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtPAkEQhCdGExH9AcbLJp4X5_04ElA0gWgAE2-TcaYnLIEdnF0O_nt3A_HUdajq7voQuid4RAg2T_PZcjWimLARpYJqJS_QgAihSywUuew1F6Uw-usa3TTNFmPKtVYDNFukUMUKQrHeZIBykvaHVEPdFlPwvW6qtkp1sYB2k0IRUy4-0s7lag9trnyxGi-LqWvdLbqKbtfA3XkO0efL83ryWs7fZ2-T8bz0TJi29MFxLTihMmDQxgj3HbkJIQbqAg5SGeaNwJFq7aSXIULfRhAZNaVUMTZEj6e9h5x-jtC0dpuOue5OWsK5MYxxJTsXObl8Tk2TIdpD97HLv5Zg2_OyPS_b87JnXl3m4ZSpAODfLwUREiv2B8jZZec</recordid><startdate>201401</startdate><enddate>201401</enddate><creator>Jiao, Zhihao</creator><creator>Yang, Jian</creator><creator>Yeh, Chunmao</creator><creator>Song, Jianshe</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201401</creationdate><title>Modified Three-Component Decomposition Method for Polarimetric SAR Data</title><author>Jiao, Zhihao ; Yang, Jian ; Yeh, Chunmao ; Song, Jianshe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-cda4854126d0e8995abf49ddfd2ad0d6793c950f288a6c6dfe2528516f8222733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Linear programming</topic><topic>Mathematical model</topic><topic>Matrix decomposition</topic><topic>Model-based polarimetric decomposition</topic><topic>Optimization</topic><topic>radar polarimetry</topic><topic>Scattering</topic><topic>similarity parameter</topic><topic>Stability analysis</topic><topic>stable decomposition</topic><topic>Synthetic aperture radar</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiao, Zhihao</creatorcontrib><creatorcontrib>Yang, Jian</creatorcontrib><creatorcontrib>Yeh, Chunmao</creatorcontrib><creatorcontrib>Song, Jianshe</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</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>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE geoscience and remote sensing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jiao, Zhihao</au><au>Yang, Jian</au><au>Yeh, Chunmao</au><au>Song, Jianshe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modified Three-Component Decomposition Method for Polarimetric SAR Data</atitle><jtitle>IEEE geoscience and remote sensing letters</jtitle><stitle>LGRS</stitle><date>2014-01</date><risdate>2014</risdate><volume>11</volume><issue>1</issue><spage>200</spage><epage>204</epage><pages>200-204</pages><issn>1545-598X</issn><eissn>1558-0571</eissn><coden>IGRSBY</coden><abstract>In this letter, a modified three-component model-based decomposition method is proposed to solve the problem of instability present in the Freeman decomposition method. We incorporate the similarity parameter and introduce a new constraint that describes the relationship between the powers of scattering components. The proposed method minimizes a continuous objective function under a set of constraints, which results in the stability of the decomposition method. Furthermore, a fast algorithm for solving the optimization problem is developed to accelerate computation. We demonstrate the stability of the proposed decomposition method by using the E-SAR polarimetric data acquired over the Oberpfaffenhofen area.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LGRS.2013.2252876</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1545-598X |
ispartof | IEEE geoscience and remote sensing letters, 2014-01, Vol.11 (1), p.200-204 |
issn | 1545-598X 1558-0571 |
language | eng |
recordid | cdi_crossref_primary_10_1109_LGRS_2013_2252876 |
source | IEEE Xplore |
subjects | Linear programming Mathematical model Matrix decomposition Model-based polarimetric decomposition Optimization radar polarimetry Scattering similarity parameter Stability analysis stable decomposition Synthetic aperture radar |
title | Modified Three-Component Decomposition Method for Polarimetric SAR Data |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T05%3A21%3A28IST&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=Modified%20Three-Component%20Decomposition%20Method%20for%20Polarimetric%20SAR%20Data&rft.jtitle=IEEE%20geoscience%20and%20remote%20sensing%20letters&rft.au=Jiao,%20Zhihao&rft.date=2014-01&rft.volume=11&rft.issue=1&rft.spage=200&rft.epage=204&rft.pages=200-204&rft.issn=1545-598X&rft.eissn=1558-0571&rft.coden=IGRSBY&rft_id=info:doi/10.1109/LGRS.2013.2252876&rft_dat=%3Cproquest_RIE%3E3123865651%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=1449933476&rft_id=info:pmid/&rft_ieee_id=6515607&rfr_iscdi=true |