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Improvement of adaptive-model based decomposition with polarization orientation compensation
Polarimetric SAR decomposition has been used extensively because of its capability to identify the strength of each scattering mechanism from polarimetric SAR data. To achieve higher accuracy, one should take into account not only variation of vegetated terrain but also topography under vegetation....
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description | Polarimetric SAR decomposition has been used extensively because of its capability to identify the strength of each scattering mechanism from polarimetric SAR data. To achieve higher accuracy, one should take into account not only variation of vegetated terrain but also topography under vegetation. In this paper, we firstly isolate vegetation orientation angle from generalized volume scattering component, and then modify a conventional adaptive model-based decomposition by carefully introducing a concept of topographic polarization orientation compensation (TPOC). Finally, experimental validation is conducted by using P-band AIRSAR image of Black Forest in Germany. |
doi_str_mv | 10.1109/IGARSS.2012.6351628 |
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To achieve higher accuracy, one should take into account not only variation of vegetated terrain but also topography under vegetation. In this paper, we firstly isolate vegetation orientation angle from generalized volume scattering component, and then modify a conventional adaptive model-based decomposition by carefully introducing a concept of topographic polarization orientation compensation (TPOC). 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To achieve higher accuracy, one should take into account not only variation of vegetated terrain but also topography under vegetation. In this paper, we firstly isolate vegetation orientation angle from generalized volume scattering component, and then modify a conventional adaptive model-based decomposition by carefully introducing a concept of topographic polarization orientation compensation (TPOC). Finally, experimental validation is conducted by using P-band AIRSAR image of Black Forest in Germany.</description><subject>adaptive model-based decomposition</subject><subject>general volume component</subject><subject>Polariemtric radar</subject><issn>2153-6996</issn><issn>2153-7003</issn><isbn>9781467311601</isbn><isbn>146731160X</isbn><isbn>9781467311588</isbn><isbn>1467311588</isbn><isbn>9781467311595</isbn><isbn>1467311596</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpNUNtqwzAM9W6w0uUL-pIfSGfZiS-PpWxdoTBYt7dBsWOZeSRxSELH9vXL2jxML0fS0TlIImQBdAlA9f12s3rZ75eMAlsKXoBg6oIkWirIheQAhVKXZMag4JmklF_95wSF64kTWotbkvT9Jx1DgeKSz8j7tm67eMQamyGNPjXOtEM4YlZHh1VqTY8udVjGuo19GEJs0q8wfKRtrEwXfsypE7swys_53yQ2_am4IzfeVD0mE87J2-PD6_op2z1vtuvVLisZK4bMCrDaoOVMae-k8Wh0ycGjps4WDu24f-6t80IYKV1hx9s8F3muQBvtKJ-Txdk3IOKh7UJtuu_D9Cv-C5j3XFw</recordid><startdate>201207</startdate><enddate>201207</enddate><creator>Arii, M.</creator><creator>van Zyl, J.</creator><creator>Yunjin Kim</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201207</creationdate><title>Improvement of adaptive-model based decomposition with polarization orientation compensation</title><author>Arii, M. ; van Zyl, J. ; Yunjin Kim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c225t-b61b9aeb3289fd7afea9c31fe90db5deb2154fbdf66a77d5b467f3644819a9d03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>adaptive model-based decomposition</topic><topic>general volume component</topic><topic>Polariemtric radar</topic><toplevel>online_resources</toplevel><creatorcontrib>Arii, M.</creatorcontrib><creatorcontrib>van Zyl, J.</creatorcontrib><creatorcontrib>Yunjin Kim</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Arii, M.</au><au>van Zyl, J.</au><au>Yunjin Kim</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Improvement of adaptive-model based decomposition with polarization orientation compensation</atitle><btitle>2012 IEEE International Geoscience and Remote Sensing Symposium</btitle><stitle>IGARSS</stitle><date>2012-07</date><risdate>2012</risdate><spage>95</spage><epage>98</epage><pages>95-98</pages><issn>2153-6996</issn><eissn>2153-7003</eissn><isbn>9781467311601</isbn><isbn>146731160X</isbn><eisbn>9781467311588</eisbn><eisbn>1467311588</eisbn><eisbn>9781467311595</eisbn><eisbn>1467311596</eisbn><abstract>Polarimetric SAR decomposition has been used extensively because of its capability to identify the strength of each scattering mechanism from polarimetric SAR data. To achieve higher accuracy, one should take into account not only variation of vegetated terrain but also topography under vegetation. In this paper, we firstly isolate vegetation orientation angle from generalized volume scattering component, and then modify a conventional adaptive model-based decomposition by carefully introducing a concept of topographic polarization orientation compensation (TPOC). Finally, experimental validation is conducted by using P-band AIRSAR image of Black Forest in Germany.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2012.6351628</doi><tpages>4</tpages></addata></record> |
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subjects | adaptive model-based decomposition general volume component Polariemtric radar |
title | Improvement of adaptive-model based decomposition with polarization orientation compensation |
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