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- Title
Monitoring and identification of marine oil spills using advanced synthetic aperture radar images.
- Authors
MIHOUB, ZAKARYA; HASSINI, ABDELATIF
- Abstract
The aim of this study is to propose and test a new methodology for detection of oil spills in the world oceans from advanced synthetic aperture radar imagery embedded in ENVISAT satellite (ENVISAT-ASAR). The proposed and applied methodology includes four levels: data acquisition, dark spots detection, features extraction and dark spots classification for discrimination between oil spills and look-alikes. Level 1 contains the ENVISAT-ASAR wide swath mode data acquisition. Level 2 begins with a visual interpretation based on experience and a priori information concerning location, external information about weather conditions, differences in shape, and contrast to surroundings between oil spills and look-alikes, then filtering and segmentation. Level 3 contains extraction of features from the detected dark spots. Level 4 aim is to discriminate oil spills from look-alikes using the features extracted by means of object-based fuzzy classification. As a result, oil slicks are discriminated from look-alikes with an overall accuracy classification of 91% for oil slicks and 86% for look-alikes. Finally, to validate our results, the method has been tested by comparing the areas of the automatically detected oil spills (object-based fuzzy classification) with the areas of the manually detected oil spills (region of interest), by means of area ratios.
- Subjects
OIL spills; SYNTHETIC aperture radar; MARINE pollution research; REMOTE sensing; IMAGING systems
- Publication
Optica Applicata, 2014, Vol 44, Issue 3, p433
- ISSN
0078-5466
- Publication type
Article
- DOI
10.5277/oa140308