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Polarimetric decompostion based on partcle swarm optimization and its data analysis


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タイトル: Polarimetric decompostion based on partcle swarm optimization and its data analysis
著者: Moriyama, Toshifumi
発行日: 2011年
出版者: IEEE
引用: APSAR 2011, pp.479-482
抄録: This paper deals with a polarimetric decomposition considering azimuth rotation based on evolutionary algorithm. Polarimetric data in urban and mountain areas are affected by azimuth rotation. Thus, the decomposition results derived by same target with different azimuth rotation angle are changed. Some researchers examined to compensate this rotation by mathematical inverse rotation. In this report, the differences of covariance matrix before and after the compensation are used to estimate the contributions of three decomposition components. An evolutional algorithm to determine the contributions is a particle swarm optimization (PSO) which is one of the evolutional algorithms. We apply the proposed method to ALOS/PALSAR data and compare the results between four component decomposition method and proposed method.
キーワード: Covariance matrix / Decomposition / Particle swarm optimization / POLSAR
URI: http://hdl.handle.net/10069/27445
ISBN: 978-899324617-9
権利: © 2011 KIEES. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
資料タイプ: Conference Paper
原稿種類: author
出現コレクション:060 会議発表資料

引用URI : http://hdl.handle.net/10069/27445

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