PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Reggiannini M., Righi M. Processing satellite imagery to detect and identify non-collaborative vessels. In: ERCIM News, vol. 108 pp. 25 - 26. ERCIM EEIG, 2017.
 
 
Abstract
(English)
In recent years, European maritime countries have had to deal with new situations involving the traffic of illegal vessels. In order to tackle such problems, systems are required that can detect relevant anomalies such as unauthorised fishing or irregular migration and related smuggling activity. The OSIRIS project aims to contribute to a solution to these problems with the use of large scale data provided by satellite missions (Sentinel, Cosmo-SkyMed, EROS). Optical/SAR data and system Integration for Rush Identification of Ship models (OSIRIS) is a European Space Agency project launched in March 2016, with the primary purpose of developing a software platform dedicated to maritime surveillance. The platform will be in charge of: (i) collecting maritime remote sensing data provided by satellite missions such as Sentinel-1, Sentinel-2, Cosmo-SkyMed and EROS-B, and (ii) processing the acquired data in order to detect and classify seagoing vessels. A main goal within OSIRIS is to develop computational imaging procedures to process Synthetic Aperture Radar and Optical data returned by satellite sensors. We propose a system to automatically detect and recognise all the vessels within in a given area; the maritime satellite imagery will be processed to extract visual informative features of candidate vessels and to assign an identification label to each vessel.
URL: http://ercim-news.ercim.eu/en108/special/processing-satellite-imagery-to-detect-and-identify-non-collaborative-vessels
Subject Image analysis
Computer vision
Earth Satellites
Dynamic Scene Analysis
Feature extraction
Image classification
Machine learning
Maritime surveillance
Remote sensing
Synthetic aperture radar imagery
I.2.10 ARTIFICIAL INTELLIGENCE. Vision and Scene Understanding
I.4.3 IMAGE PROCESSING AND COMPUTER VISION. Enhancement
I.4.6 IMAGE PROCESSING AND COMPUTER VISION. Segmentation
I.4.7 IMAGE PROCESSING AND COMPUTER VISION. Feature Measurement
I.4.8 IMAGE PROCESSING AND COMPUTER VISION. Scene Analysis
68T45 Machine vision and scene understanding


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