Loading…

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....

Full description

Saved in:
Bibliographic Details
Main Authors: Arii, M., van Zyl, J., Yunjin Kim
Format: Conference Proceeding
Language:English
Subjects:
Citations: Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c225t-b61b9aeb3289fd7afea9c31fe90db5deb2154fbdf66a77d5b467f3644819a9d03
cites
container_end_page 98
container_issue
container_start_page 95
container_title
container_volume
creator Arii, M.
van Zyl, J.
Yunjin Kim
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
format conference_proceeding
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_6351628</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6351628</ieee_id><sourcerecordid>6351628</sourcerecordid><originalsourceid>FETCH-LOGICAL-c225t-b61b9aeb3289fd7afea9c31fe90db5deb2154fbdf66a77d5b467f3644819a9d03</originalsourceid><addsrcrecordid>eNpNUNtqwzAM9W6w0uUL-pIfSGfZiS-PpWxdoTBYt7dBsWOZeSRxSELH9vXL2jxML0fS0TlIImQBdAlA9f12s3rZ75eMAlsKXoBg6oIkWirIheQAhVKXZMag4JmklF_95wSF64kTWotbkvT9Jx1DgeKSz8j7tm67eMQamyGNPjXOtEM4YlZHh1VqTY8udVjGuo19GEJs0q8wfKRtrEwXfsypE7swys_53yQ2_am4IzfeVD0mE87J2-PD6_op2z1vtuvVLisZK4bMCrDaoOVMae-k8Wh0ycGjps4WDu24f-6t80IYKV1hx9s8F3muQBvtKJ-Txdk3IOKh7UJtuu_D9Cv-C5j3XFw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Improvement of adaptive-model based decomposition with polarization orientation compensation</title><source>IEEE Xplore All Conference Series</source><creator>Arii, M. ; van Zyl, J. ; Yunjin Kim</creator><creatorcontrib>Arii, M. ; van Zyl, J. ; Yunjin Kim</creatorcontrib><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.</description><identifier>ISSN: 2153-6996</identifier><identifier>ISBN: 9781467311601</identifier><identifier>ISBN: 146731160X</identifier><identifier>EISSN: 2153-7003</identifier><identifier>EISBN: 9781467311588</identifier><identifier>EISBN: 1467311588</identifier><identifier>EISBN: 9781467311595</identifier><identifier>EISBN: 1467311596</identifier><identifier>DOI: 10.1109/IGARSS.2012.6351628</identifier><language>eng</language><publisher>IEEE</publisher><subject>adaptive model-based decomposition ; general volume component ; Polariemtric radar</subject><ispartof>2012 IEEE International Geoscience and Remote Sensing Symposium, 2012, p.95-98</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c225t-b61b9aeb3289fd7afea9c31fe90db5deb2154fbdf66a77d5b467f3644819a9d03</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6351628$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6351628$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Arii, M.</creatorcontrib><creatorcontrib>van Zyl, J.</creatorcontrib><creatorcontrib>Yunjin Kim</creatorcontrib><title>Improvement of adaptive-model based decomposition with polarization orientation compensation</title><title>2012 IEEE International Geoscience and Remote Sensing Symposium</title><addtitle>IGARSS</addtitle><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.</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>
fulltext fulltext_linktorsrc
identifier ISSN: 2153-6996
ispartof 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012, p.95-98
issn 2153-6996
2153-7003
language eng
recordid cdi_ieee_primary_6351628
source IEEE Xplore All Conference Series
subjects adaptive model-based decomposition
general volume component
Polariemtric radar
title Improvement of adaptive-model based decomposition with polarization orientation compensation
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T07%3A49%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Improvement%20of%20adaptive-model%20based%20decomposition%20with%20polarization%20orientation%20compensation&rft.btitle=2012%20IEEE%20International%20Geoscience%20and%20Remote%20Sensing%20Symposium&rft.au=Arii,%20M.&rft.date=2012-07&rft.spage=95&rft.epage=98&rft.pages=95-98&rft.issn=2153-6996&rft.eissn=2153-7003&rft.isbn=9781467311601&rft.isbn_list=146731160X&rft_id=info:doi/10.1109/IGARSS.2012.6351628&rft.eisbn=9781467311588&rft.eisbn_list=1467311588&rft.eisbn_list=9781467311595&rft.eisbn_list=1467311596&rft_dat=%3Cieee_CHZPO%3E6351628%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c225t-b61b9aeb3289fd7afea9c31fe90db5deb2154fbdf66a77d5b467f3644819a9d03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6351628&rfr_iscdi=true