NDLI: An Extension of a Complete Model-Based Decomposition of Polarimetric SAR Data

Content Provider	IEEE Xplore Digital Library
Author	Feiya Zhu Yunhua Zhang Dong Li
Copyright Year	2004
Abstract	The 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 two main 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 RCM is 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 proposed method is demonstrated by processing the real PolSAR data.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	287
Ending Page	291
Page Count	5
File Size	368533
File Format	PDF
ISSN	1545598X
Volume Number	13
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scattering Matrix decomposition Eigenvalues and eigenfunctions TV Data models Covariance matrices Polarimetric synthetic aperture radar polarimetric synthetic aperture radar (PolSAR) Helix angle (HA) variation model-based decomposition nonnegative eigenvalue decomposition (NNED) orientation angle (OA) variation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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