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Proceedings Paper

Application of asymmetric mapping and selective filtering (AM and SF) method to Cosmo/SkyMed images by implementation of a selective blocks approach for ship detection optimization in SEASAFE framework
Author(s): D. Loreggia; F. Tataranni; P. Trivero; W. Biamino; L. Di Matteo
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Paper Abstract

We present the implementation of a procedure to adapt an Asymmetric Wiener Filtering (AWF) methodology aimed to detect and discard ghost signal due to azimuth ambiguities in SAR images to the case for X-band Cosmo Sky Med (CSK) images in the framework of SEASAFE (Slick Emissions And Ship Automatic Features Extraction) project, developed at the Department of Science and Technology Innovation of the University of Piemonte Orientale, Alessandria, Italy. SAR is a useful tool to daily and nightly monitoring of the sea surface in all weather conditions. SEASAFE project is a software platform developed in IDL language able to process data in C- Land X-band SAR images with enhanced algorithm modules for land masking, sea pollution (oil spills) and ship detection; wind and wave evaluation are also available. In this contest, the need to individuate and discard false alarms is a critical requirement. The azimuth ambiguity is one of the main causes that generate false alarm in the ship detection procedure. Many methods to face with this problem were proposed and presented in recent literature. After a review of different approach to this problem, we describe the procedure to adapt the AWF approach presented in [1,2] to the case of X-band CSK images by implementing a selective blocks approach.

Paper Details

Date Published: 4 October 2017
PDF: 13 pages
Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 104271C (4 October 2017); doi: 10.1117/12.2279525
Show Author Affiliations
D. Loreggia, INAF - Osservatorio Astronomico di Torino (Italy)
F. Tataranni, INNOVA Consorzio per l’Informatica e la Telematica (Italy)
P. Trivero, Univ. degli Studi del Piemonte Orientale Amedeo Avogadro (Italy)
W. Biamino, Univ. degli Studi del Piemonte Orientale Amedeo Avogadro (Italy)
L. Di Matteo, Univ. degli Studi del Piemonte Orientale Amedeo Avogadro (Italy)


Published in SPIE Proceedings Vol. 10427:
Image and Signal Processing for Remote Sensing XXIII
Lorenzo Bruzzone, Editor(s)

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