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Four-component scattering model for polarimetric SAR image decomposition
http://hdl.handle.net/10191/4987
http://hdl.handle.net/10191/49872bf6f151-ad7a-4096-942a-acf66c7e804c
名前 / ファイル | ライセンス | アクション |
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(Yamaguchi four)01487628.pdf (618.8 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2007-09-10 | |||||
タイトル | ||||||
タイトル | Four-component scattering model for polarimetric SAR image decomposition | |||||
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 | radar polarimetry | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | scattering contribution decomposition | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | symmetric and asymmetric covariance | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
Yamaguchi, Y.
× Yamaguchi, Y.× Moriyama, T.× Ishido, M.× Yamada, H. |
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著者別名 | ||||||
識別子Scheme | WEKO | |||||
識別子 | 19 | |||||
姓名 | 山口, 芳雄 | |||||
姓名 | Yamaguchi, Yoshio | |||||
著者別名 | ||||||
識別子Scheme | WEKO | |||||
識別子 | 50 | |||||
姓名 | 山田, 寛喜 | |||||
姓名 | Yamada, Hiroyoshi | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | A four-component scattering model is proposed to decompose polarimetric synthetic aperture radar (SAR) images. The covariance matrix approach is used to deal with the nonreflection symmetric scattering case. This scheme includes and extends the three-component decomposition method introduced by Freeman and Durden dealing with the reflection symmetry condition that the co-pol and the cross-pol correlations are close to zero. Helix scattering power is added as the fourth component to the three-component scattering model which describes surface, double bounce, and volume scattering. This helix scattering term is added to take account of the co-pol and the cross-pol correlations which generally appear in complex urban area scattering and disappear for a natural distributed scatterer. This term is relevant for describing man-made targets in urban area scattering. In addition, asymmetric volume scattering covariance matrices are introduced in dependence of the relative backscattering magnitude between HH and VV. A modification of probability density function for a cloud of dipole scatterers yields asymmetric covariance matrices. An appropriate choice among the symmetric or asymmetric volume scattering covariance matrices allows us to make a best fit to the measured data. A four-component decomposition algorithm is developed to deal with a general scattering case. The result of this decomposition is demonstrated with L-band Pi-SAR images taken over the city of Niigata, Japan. | |||||
書誌情報 |
IEEE transactions on geoscience and remote sensing en : IEEE transactions on geoscience and remote sensing 巻 43, 号 8, p. 1699-1706, 発行日 2005-08 |
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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.2005.852084 | |||||
権利 | ||||||
権利情報 | ©(2005) IEEE. 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 the IEEE. | |||||
著者版フラグ | ||||||
値 | publisher |