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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

General Four-Component Scattering Power Decomposition with Unitary Transformation of Coherency Matrix

http://hdl.handle.net/10191/19402
http://hdl.handle.net/10191/19402
86241d04-fa93-4a49-846e-ce970057bba9
名前 / ファイル ライセンス アクション
IEEETGRS_99_1-9.pdf IEEETGRS_99_1-9.pdf (2.2 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2012-10-31
タイトル
タイトル General Four-Component Scattering Power Decomposition with Unitary Transformation of Coherency Matrix
タイトル
タイトル General Four-Component Scattering Power Decomposition with Unitary Transformation of Coherency Matrix
言語 en
言語
言語 eng
キーワード
主題Scheme Other
主題 Radar polarimetry
キーワード
主題Scheme Other
主題 scattering power decomposition
キーワード
主題Scheme Other
主題 polarimetric synthetic aperture radar
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
著者 Singh, Gulab

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Singh, Gulab

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山口, 芳雄

× 山口, 芳雄

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山口, 芳雄

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Park, Sang-Eun

× Park, Sang-Eun

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Park, Sang-Eun

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抄録
内容記述タイプ Abstract
内容記述 This paper presents a new general four-component scattering power decomposition method by implementing a set of unitary transformations for the polarimetric coherency matrix. There exist 9 real independent observation parameters in the 3 x 3 coherency matrix with respect to the second order statistics of polarimetric information. The proposed method accounts for all observation parameters in the new scheme. It is known that the existing four-component decomposition method reduces the number of observation parameters from 9 to 8 by rotation of the coherency matrix, and that it accounts for 6 parameters out of 8, leaving 2 parameters (i.e., real and imaginary part of T13 component) un-accounted for. By additional special unitary transformation to this rotated coherency matrix, it became possible to reduce the number of independent parameters from 8 to 7. After the unitary transformation, the new four-component decomposition is carried out that accounts for all parameters in the coherency matrix including the remaining T13 component. Therefore, the proposed method makes use of full utilization of polarimetric information in the decomposition. The decomposition also employs an extended volume scattering model, which discriminates the volume scattering between dipole and dihedral scattering structures caused by the cross-polarized HV component. It is found that the new method enhances the double bounce scattering contributions over the urban areas compared to those of the existing four-component decomposition, resulting from the full utilization of polarimetric information.
書誌情報 IEEE transactions on geoscience and remote sensing
en : IEEE transactions on geoscience and remote sensing

巻 51, 号 5, p. 3014-3022, 発行日 2013-05
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.2012.2212446
権利
権利情報 © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
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Singh, Gulab, 山口, 芳雄, Park, Sang-Eun, 2013, General Four-Component Scattering Power Decomposition with Unitary Transformation of Coherency Matrix: IEEE, 3014–3022 p.

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