Literature DB >> 19775709

On the SAR derived alert in the detection of oil spills according to the analysis of the EGEMP.

Guido Ferraro1, Björn Baschek, Geraldine de Montpellier, Ove Njoten, Marko Perkovic, Michele Vespe.   

Abstract

Satellite services that deliver information about possible oil spills at sea currently use different labels of "confidence" to describe the detections based on radar image processing. A common approach is to use a classification differentiating between low, medium and high levels of confidence. There is an ongoing discussion on the suitability of the existing classification systems of possible oil spills detected by radar satellite images with regard to the relevant significance and correspondence to user requirements. This paper contains a basic analysis of user requirements, current technical possibilities of satellite services as well as proposals for a redesign of the classification system as an evolution towards a more structured alert system. This research work offers a first review of implemented methodologies for the categorisation of detected oil spills, together with the proposal of explorative ideas evaluated by the European Group of Experts on satellite Monitoring of sea-based oil Pollution (EGEMP). Copyright 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19775709     DOI: 10.1016/j.marpolbul.2009.08.025

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  1 in total

1.  SAR image segmentation using Voronoi tessellation and Bayesian inference applied to dark spot feature extraction.

Authors:  Quanhua Zhao; Yu Li; Zhenggang Liu
Journal:  Sensors (Basel)       Date:  2013-10-25       Impact factor: 3.576

  1 in total

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