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Polarimetric decompostion based on partcle swarm optimization and its data analysis


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Title: Polarimetric decompostion based on partcle swarm optimization and its data analysis
Authors: Moriyama, Toshifumi
Issue Date: 2011
Publisher: IEEE
Citation: APSAR 2011, pp.479-482
Abstract: 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.
Keywords: Covariance matrix / Decomposition / Particle swarm optimization / POLSAR
URI: http://hdl.handle.net/10069/27445
ISBN: 978-899324617-9
Rights: © 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.
Type: Conference Paper
Text Version: author
Appears in Collections:Conference Paper

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

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