Detecting depolarized targets using a new geometrical perturbation filter

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. https://doi.org/10.1109/TGRS.2012.2185703

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

Keywords
Vectors; Detectors; Covariance matrix; Coherence; Clutter; Synthetic aperture radar

Journal
IEEE Transactions on Geoscience and Remote Sensing: Volume 50, Issue 10

People

Dr Armando Marino

Associate Professor, Biological and Environmental Sciences