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PolInSAR Coherence Region Modeling and Inversion : The Best Normal Matrix Approximation Solution
http://hdl.handle.net/10191/31326
http://hdl.handle.net/10191/31326a8434587-0a78-4f90-b176-4217c2590b81
名前 / ファイル | ライセンス | アクション |
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IEEETGRS_53(2)_1048-1060.pdf (4.5 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2015-01-08 | |||||
タイトル | ||||||
タイトル | PolInSAR Coherence Region Modeling and Inversion : The Best Normal Matrix Approximation Solution | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Polarimetric interferometric SAR (PolInSAR) | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | coherence region modeling | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | model inversion | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | whitened interferometric cross-correlation matrix | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | best normal matrix approximation | |||||
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× Yamaguchi, Yoshio× Yamada, Hiroyoshi× Park, Sang-Eun |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In this paper, we address the theoretical aspects of coherence region modeling and its inversion methods for polarimetric interferometric SAR (PolInSAR). Instead of only considering the geometrical shape of the coherence region, we focus on directly modeling the whitened interferometric cross-correlation matrix of the PolInSAR data. In particular, we consider three classes of generic scattering models that respectively contain single, double and triple phase centers within one resolution cell. We then demonstrate, for each class, that the modeled whitened interferometric cross-correlation matrix is normal. Based on this property, we propose, for each case, efficient algorithms to obtain the best normal matrix approximation solution for model inversion from the observed whitened interferometric cross-correlation matrix. In addition, we show how a simple and effective criterion can be designed from the derived solutions for model validation. Finally, we verify the solutions with both simulated and real data. The results prove the proposed method to be a very promising tool for PolInSAR applications. | |||||
書誌情報 |
IEEE transactions on geoscience and remote sensing en : IEEE transactions on geoscience and remote sensing 巻 53, 号 2, p. 1048-1060, 発行日 2015-02 |
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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.2014.2332553 | |||||
権利 | ||||||
権利情報 | ©2015 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 |