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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

PolInSAR Coherence Region Modeling and Inversion : The Best Normal Matrix Approximation Solution

http://hdl.handle.net/10191/31326
http://hdl.handle.net/10191/31326
a8434587-0a78-4f90-b176-4217c2590b81
名前 / ファイル ライセンス アクション
IEEETGRS_53(2)_1048-1060.pdf IEEETGRS_53(2)_1048-1060.pdf (4.5 MB)
Item type 学術雑誌論文 / Journal Article(1)
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

WEKO 5220

Cui, Yi

Search repository
Yamaguchi, Yoshio

× Yamaguchi, Yoshio

WEKO 19

Yamaguchi, Yoshio

Search repository
Yamada, Hiroyoshi

× Yamada, Hiroyoshi

WEKO 50

Yamada, Hiroyoshi

Search repository
Park, Sang-Eun

× Park, Sang-Eun

WEKO 5223

Park, Sang-Eun

Search repository
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
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.
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