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PR
2007
109views more  PR 2007»
13 years 4 months ago
Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model
This study focuses on the segmentation and characterization of oil slicks on the sea surface from synthetic aperture radar (SAR) observations. In fact, an increase in viscosity du...
Stéphane Derrode, Grégoire Mercier
ML
1998
ACM
113views Machine Learning» more  ML 1998»
13 years 4 months ago
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
During a project examining the use of machine learning techniques for oil spill detection, we have encountered several essential questions that we believe deserve the attention of ...
Miroslav Kubat, Robert C. Holte, Stan Matwin
ENVSOFT
2006
122views more  ENVSOFT 2006»
13 years 4 months ago
Automatic identification of oil spills on satellite images
A fully automated system for the identification of possible oil spills present on Synthetic Aperture Radar (SAR) satellite images based on artificial intelligence fuzzy logic has ...
Iphigenia Keramitsoglou, Constantinos Cartalis, Ch...
IADIS
2008
13 years 6 months ago
A Case-Based Reasoning System to Forecast the Presence Of Oil Slicks
After an oil spill it is essential to know if an area is going to be affected by the oil slicks generated. The system presented here forecasts the presence or not of oil slicks in...
Juan M. Corchado, Aitor Mata, Juan Francisco de Pa...