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An Extension of a Complete Model-Based Decomposition of Polarimetric SAR Data
Zhu, Feiya; Zhang, Yunhua; Li, Dong; Zhu, FY; Zhang, YH; Li, D (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.; Zhu, FY (reprint author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
Department微波遥感部
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2016
Volume13Issue:2Pages:287-291
ISSN1545-598X
Language英语
KeywordHelix Angle (Ha) Variation Model-based Decomposition Nonnegative Eigenvalue Decomposition (Nned) Orientation Angle (Oa) Variation Polarimetric Synthetic Aperture Radar (Polsar)
AbstractThe model-based decomposition that originated from Freeman-Durden three-component decomposition (FDD) has been widely applied in polarimetric synthetic aperture radar (PolSAR) data processing for its clear physical interpretation and easy implementation. Numerous improvements have been proposed to settle the twomain drawbacks of FDD, i.e., the incomplete utilization of the polarimetric information in the coherency matrix and the negative scattering power problem. Recently, Cui et al. proposed a complete model-based three-component decomposition which successfully settled the two aforementioned drawbacks. However, the three scattering components' powers are not totally derived using scattering models, and the remaining coherency matrix (RCM) obtained by subtracting the volume scattering component from the coherency matrix is not consistent with the models of surface and double-bounce scattering components. As an extension of Cui's method, this letter is dedicated to develop a novel method to discriminate the surface and double-bounce scattering components both using scattering models. With the orientation angle (OA) variation and helix angle (HA) variation compensated for the RCM, the RCM is automatically consistent with the models of surface and double-scattering components. The OA variation and HA variation compensation for the RCMis done by unitary transformations of the eigenvectors of the RCM. The powers of surface and double-bounce scattering components are positive. The effectiveness of the proposedmethod is demonstrated by processing the real PolSAR data.
Indexed BySCI ; EI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/5666
Collection微波遥感部
Corresponding AuthorZhu, FY; Zhang, YH; Li, D (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.; Zhu, FY (reprint author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
Recommended Citation
GB/T 7714
Zhu, Feiya,Zhang, Yunhua,Li, Dong,et al. An Extension of a Complete Model-Based Decomposition of Polarimetric SAR Data[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2016,13(2):287-291.
APA Zhu, Feiya.,Zhang, Yunhua.,Li, Dong.,Zhu, FY.,Zhang, YH.,...&Zhu, FY .(2016).An Extension of a Complete Model-Based Decomposition of Polarimetric SAR Data.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,13(2),287-291.
MLA Zhu, Feiya,et al."An Extension of a Complete Model-Based Decomposition of Polarimetric SAR Data".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 13.2(2016):287-291.
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