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Proceedings Paper

On the sensitivity analysis of the Compact-Polarimetry SAR architectures for maritime targets detection
Author(s): Rafael L. Paes; Andrea Buono; Ferdinando Nunziata; Maurizio Migliaccio
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Paper Abstract

A comparison among three Compact-Polarimetry (CP) Synthetic Aperture Radar (SAR) architectures is followed to analyze some polarimetric features sensitivity with respect to the ocean background variation, which is achieved as situational awareness about the environment influence on detection algorithms performance. Thus, architectures are emulated from Radarsat-2 full-polarimetric actual SAR data, according to wave polarimetry concepts. In this analysis, the entropy of the wave scattered off the observed scene is used as polarimetric feature, considering as reference the conventional target entropy evaluated from full-polarimetric SAR data. Then, actual RISAT-1 Hybrid-Polarity (HP) data are analyzed extracting other polarimetric features to investigate their capabilities to discriminate metallic targets from the ocean background. Relative ocean background sensitivity analysis is addressed using an objective metric named Relative Sensitivity of Polarimetric Features (RSPolF), whose characterizes the polarimetric feature sensitivity for the sea state found in each SAR scene. Additionally, on further works, it can objectively support target detection algorithms for threshold definition.

Paper Details

Date Published: 14 October 2014
PDF: 11 pages
Proc. SPIE 9240, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014, 92401A (14 October 2014); doi: 10.1117/12.2070678
Show Author Affiliations
Rafael L. Paes, National Institute for Space Research (Brazil)
Andrea Buono, Univ. of Naples "Parthenope" (Italy)
Ferdinando Nunziata, Univ. of Naples "Parthenope" (Italy)
Maurizio Migliaccio, Univ. of Naples "Parthenope" (Italy)


Published in SPIE Proceedings Vol. 9240:
Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014
Charles R. Bostater; Stelios P. Mertikas; Xavier Neyt, Editor(s)

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