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Four-Component Scattering Power Decomposition With Rotation of Coherency Matrix
http://hdl.handle.net/10191/19302
http://hdl.handle.net/10191/193020bf7a688-ed2d-43a6-b8eb-8bd7f360641b
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IEEETGRS_49(6)_2251-2258.pdf (3.0 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2012-08-16 | |||||
| タイトル | ||||||
| タイトル | Four-Component Scattering Power Decomposition With Rotation of Coherency Matrix | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 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 | radar polarimetry | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | coherency matrix rotation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | deorientation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | POLSAR | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Quad-pol SAR | |||||
| 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, Yoshio
× Yamaguchi, Yoshio× Sato, Akinobu× Boerner, Wolfgang Mart× Sato, Ryoichi× Yamada, Hiroyoshi |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This paper presents an improvement to a decomposition scheme for accurate classification of polarimetric SAR images. Using a rotation of the coherency matrix to minimize the cross-polarized component, the four-component scattering power decomposition is applied to fully polarimetric SAR images. It is known that oriented urban area and vegetation signatures are decomposed into the same volume scattering mechanism in the previous decompositions and that it is difficult to distinguish vegetation from oblique urban areas with respect to radar direction of illumination within the volume scattering mechanism. It is desirable to distinguish these two scattering mechanisms for accurate classification although they exhibit similar polarimetric responses. The new decomposition scheme by implementing a rotation of coherency matrix first and subsequently the four-component decomposition yields considerably improved accurate results that oriented urban areas are recognized as double bounce objects from volume scattering. | |||||
| 書誌情報 |
IEEE transactions on geoscience and remote sensing en : IEEE transactions on geoscience and remote sensing 巻 49, 号 6, p. 2251-2258, 発行日 2011-06 |
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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.2010.2099124 | |||||
| 権利 | ||||||
| 権利情報 | ©2011 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. | |||||
| 著者版フラグ | ||||||
| 値 | author | |||||
