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Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Detecting depolarized targets using a new geometrical perturbation filter
Author(s): Marino, Armando
Cloude, Shane R
Woodhouse, Iain H
Keywords: Vectors
Covariance matrix
Synthetic aperture radar
Issue Date: Oct-2012
Citation: Marino A, Cloude SR & Woodhouse IH (2012) Detecting depolarized targets using a new geometrical perturbation filter. IEEE Transactions on Geoscience and Remote Sensing, 50 (10), pp. 3787-3799.
Abstract: Target detectors using polarimetry are often focused on single targets, since these can be characterized in a simpler and deterministic way. The algorithm proposed in this paper is aimed at the more difficult problem of partial-target detection (i.e., targets with arbitrary degree of polarization). The authors have already proposed a single-target detector employing filters based on a geometrical perturbation. In order to enhance the algorithm to the detection of partial targets, a new vector formalism is introduced. The latter is similar to the one exploited for single targets but suitable for complete characterization of partial targets. A new feature vector is generated starting from the covariance matrix and exploited for the perturbation method. Validation against L-band fully polarimetric airborne E-SAR and ALOS PALSAR data and X-band dual-polarimetric TerraSAR-X data is provided with significant agreement with the expected results. Additionally, a comparison with the supervised Wishart classifier is presented revealing improvements
DOI Link: 10.1109/TGRS.2012.2185703
Rights: © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.

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