Improved three-stage inversion process for forest height inversion with PolInSAR data

Three-stage inversion process is one of the most frequently used methods with PolInSAR data for extracting forest heights. According to this method, forest heights and ground topography can be extracted based on interferometric coherence using a random volume over ground model. In this paper, a cohe...

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Hauptverfasser:	Lulu Tan, Zhang Jianming, Dahai Dai, Ruliang Yang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Coherence coherence estimation coherence region Decorrelation Estimation forest height inversion Interferometry polarimetric interferometry Shape Vegetation volume decorrelation
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creator	Lulu Tan Zhang Jianming Dahai Dai Ruliang Yang
description	Three-stage inversion process is one of the most frequently used methods with PolInSAR data for extracting forest heights. According to this method, forest heights and ground topography can be extracted based on interferometric coherence using a random volume over ground model. In this paper, a coherence value estimation method with adaptive averaging window derived from coherence region shape parameters is presented to improve the accuracy of complex coherence estimate. Moreover, coherence region boundary extraction algorithm is applied to resolve the ambiguity estimation problem of volume decorrelation. Finally, the proposed algorithm is validated by simulated PolInSAR data for canopy simulated by PolInSAR data simulator of PolSARpro software developed by ESA (European Space Agency).
doi_str_mv	10.1109/CIE-Radar.2011.6159819
format	Conference Proceeding
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Finally, the proposed algorithm is validated by simulated PolInSAR data for canopy simulated by PolInSAR data simulator of PolSARpro software developed by ESA (European Space Agency).</description><subject>Coherence</subject><subject>coherence estimation</subject><subject>coherence region</subject><subject>Decorrelation</subject><subject>Estimation</subject><subject>forest height inversion</subject><subject>Interferometry</subject><subject>polarimetric interferometry</subject><subject>Shape</subject><subject>Vegetation</subject><subject>volume decorrelation</subject><issn>1097-5764</issn><issn>2640-7736</issn><isbn>1424484448</isbn><isbn>9781424484447</isbn><isbn>142448443X</isbn><isbn>9781424484430</isbn><isbn>1424484421</isbn><isbn>9781424484423</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNUNtKAzEUjDew1n6BIPmB1FxPNo-ltLpQUFoF30q2Oe1G2m7ZhIp_74oFHRgGZoZ5GELuBR8Kwd3DuJywuQ--HUouxBCEcYVwZ-RGaKl1obV6Pyc9CZozaxVc_AW6uCS9bsIyY0Ffk0FKH7wDgDPW9shbuTu0zREDzXWLyFL2G6Rxf8Q2xWZPu3CFKdF10_4QU6Y1xk2d_3U-Y67pS7Mt94vRnAaf_S25WvttwsFJ-2QxnbyOn9js-bEcj2YsOp6ZrFCv1lUwCAUXgSut0UkNUIExRgbhdeUr8EFxJ0EB-JXlyoKvvBCd0Sd3v6sREZeHNu58-7U8naO-AQEBVpQ</recordid><startdate>201110</startdate><enddate>201110</enddate><creator>Lulu Tan</creator><creator>Zhang Jianming</creator><creator>Dahai Dai</creator><creator>Ruliang Yang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201110</creationdate><title>Improved three-stage inversion process for forest height inversion with PolInSAR data</title><author>Lulu Tan ; Zhang Jianming ; Dahai Dai ; Ruliang Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-2be4cfbd5e6801d0344e92466b65552d1a4bab6ad30926366ac70376aba11263</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Coherence</topic><topic>coherence estimation</topic><topic>coherence region</topic><topic>Decorrelation</topic><topic>Estimation</topic><topic>forest height inversion</topic><topic>Interferometry</topic><topic>polarimetric interferometry</topic><topic>Shape</topic><topic>Vegetation</topic><topic>volume decorrelation</topic><toplevel>online_resources</toplevel><creatorcontrib>Lulu Tan</creatorcontrib><creatorcontrib>Zhang Jianming</creatorcontrib><creatorcontrib>Dahai Dai</creatorcontrib><creatorcontrib>Ruliang Yang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lulu Tan</au><au>Zhang Jianming</au><au>Dahai Dai</au><au>Ruliang Yang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Improved three-stage inversion process for forest height inversion with PolInSAR data</atitle><btitle>Proceedings of 2011 IEEE CIE International Conference on Radar</btitle><stitle>CIE-Radar</stitle><date>2011-10</date><risdate>2011</risdate><volume>2</volume><spage>1394</spage><epage>1397</epage><pages>1394-1397</pages><issn>1097-5764</issn><eissn>2640-7736</eissn><isbn>1424484448</isbn><isbn>9781424484447</isbn><eisbn>142448443X</eisbn><eisbn>9781424484430</eisbn><eisbn>1424484421</eisbn><eisbn>9781424484423</eisbn><abstract>Three-stage inversion process is one of the most frequently used methods with PolInSAR data for extracting forest heights. 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subjects	Coherence coherence estimation coherence region Decorrelation Estimation forest height inversion Interferometry polarimetric interferometry Shape Vegetation volume decorrelation
title	Improved three-stage inversion process for forest height inversion with PolInSAR data
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