Wake-based ship route estimation in high-resolution SAR images

M. Daniela Graziano; Giancarlo Rufino; Marco D'Errico

doi:10.1117/12.2067301

21 October 2014 Wake-based ship route estimation in high-resolution SAR images

M. Daniela Graziano, Giancarlo Rufino, Marco D'Errico

Proceedings Volume 9243, SAR Image Analysis, Modeling, and Techniques XIV; 92430T (2014) https://doi.org/10.1117/12.2067301
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

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.

Citation Download Citation

M. Daniela Graziano, Giancarlo Rufino, and Marco D'Errico "Wake-based ship route estimation in high-resolution SAR images", Proc. SPIE 9243, SAR Image Analysis, Modeling, and Techniques XIV, 92430T (21 October 2014); https://doi.org/10.1117/12.2067301

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available