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  1. 060 工学部
  2. 10 学術雑誌論文
  3. 10 査読済論文
  1. 0 資料タイプ別
  2. 01 学術雑誌論文

On Complete Model-Based Decomposition of Polarimetric SAR Coherency Matrix Data

http://hdl.handle.net/10191/25967
http://hdl.handle.net/10191/25967
1ab20088-76f7-4fb3-9f1b-d4c371720ce5
名前 / ファイル ライセンス アクション
IEEETGRS_52(4)_1991- IEEETGRS_52(4)_1991- 2001.pdf (4.9 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2018-09-11
タイトル
タイトル On Complete Model-Based Decomposition of Polarimetric SAR Coherency Matrix Data
タイトル
タイトル On Complete Model-Based Decomposition of Polarimetric SAR Coherency Matrix Data
言語 en
言語
言語 eng
キーワード
主題Scheme Other
主題 Polarimetric synthetic aperture radar (POLSAR)
キーワード
主題Scheme Other
主題 coherency matrix
キーワード
主題Scheme Other
主題 model-based scattering power decomposition
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
著者 Cui, Yi

× Cui, Yi

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Cui, Yi

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山口, 芳雄

× 山口, 芳雄

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山口, 芳雄

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Yang, Jian

× Yang, Jian

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Yang, Jian

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Kobayashi, Hirokazu

× Kobayashi, Hirokazu

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Kobayashi, Hirokazu

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Park, Sang-Eun

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Singh, Gulab

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Singh, Gulab

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抄録
内容記述タイプ Abstract
内容記述 In this paper, a general scheme for complete modelbased decomposition of the polarimetric synthetic aperture radar (POLSAR) coherency matrix data is presented. We show that the POLSAR coherency matrix can be completely decomposed into three components contributed by volume scattering and two single scatterers (characterized by rank-1 matrices). Under this scheme, solving for the volume scattering power amounts to a generalized eigendecomposition problem and the nonnegative power constraint uniquely determines the the minimum eigenvalue as the volume scattering power. Furthermore, in order to discriminate the remaining components we propose two approaches. One is based on eigendecomposition and the other is based on model fitting, both of which are shown to properly resolve the surface and double-bounce scattering ambiguity. As a result, this paper in particular contributes to two pending needs for model-based POLSAR decomposition. Firstly, it overcomes negative power problems, i.e., all the decomposed powers are strictly guaranteed non-negative; and secondly, the threecomponent decomposition exactly accounts for every element of the observed coherency matrix, leading to a complete utilization of the fully polarimetric information.
書誌情報 IEEE transactions on geoscience and remote sensing
en : IEEE transactions on geoscience and remote sensing

巻 52, 号 4, p. 1991-2001, 発行日 2014-04
出版者
出版者 IEEE
ISSN
収録物識別子タイプ ISSN
収録物識別子 01962892
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA00231483
DOI
識別子タイプ DOI
関連識別子 info:doi/10.1109/TGRS.2013.2257603
権利
権利情報 ©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
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Cite as

Cui, Yi, 山口, 芳雄, Yang, Jian, Kobayashi, Hirokazu, Park, Sang-Eun, Singh, Gulab, 2014, On Complete Model-Based Decomposition of Polarimetric SAR Coherency Matrix Data: IEEE, 1991–2001 p.

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