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Proceedings Paper

Wake-based ship route estimation in high-resolution SAR images
Author(s): M. Daniela Graziano; Giancarlo Rufino; Marco D'Errico
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Paper Abstract

This paper presents a novel algorithm for wake detection in Synthetic Aperture Radar images of the sea. The algorithm has been conceived as part of a ship traffic monitoring system, in charge of ship detection validation and to estimate ship route features, such as heading and ground speed. In addition, it has been intended to be adequate for inclusion in an automatic procedure without human operator supervision. The algorithm exploits the Radon transform to identify the images ship wake on the basis of the well known theoretical characteristics of the wakes’ geometry and components, that are the turbulent wake, the narrow-V wakes, and the Kelvin arms, as well as the typical appearance of such components in Synthetic Aperture Radar images of the sea as bright or dark linear feature. Examples of application to high-resolution X-band Synthetic Aperture Radar products (COSMOSkymed and TerraSAR-X) are reported, both for wake detection and ship route estimation, showing the achieved quality and reliability of wake detection, adequacy to automatic procedures, as well as speed measure accuracy.

Paper Details

Date Published: 21 October 2014
PDF: 12 pages
Proc. SPIE 9243, SAR Image Analysis, Modeling, and Techniques XIV, 92430T (21 October 2014); doi: 10.1117/12.2067301
Show Author Affiliations
M. Daniela Graziano, Univ. of Naples Federico II (Italy)
Giancarlo Rufino, Univ. of Naples Federico II (Italy)
Marco D'Errico, Second Univ. of Naples (Italy)

Published in SPIE Proceedings Vol. 9243:
SAR Image Analysis, Modeling, and Techniques XIV
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

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