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Oil spill detection using hyperspectral infrared camera
SPIE Proceedings, 2017Oil spill pollution is a severe environmental problem that persists in the marine environment and in inland water systems around the world. Remote sensing is an important part of oil spill response. The hyperspectral images can not only provide the space information but also the spectral information.
Hui Yu +7 more
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Machine Learning Approach to Oil Spill Detection
SPE Nigeria Annual International Conference and ExhibitionAbstract In recent years, environmental scientists committed to safeguarding the planet have prioritized the detection and monitoring of oil spills in marine waters, a focus expected to persist. Rapid identification of oil spill incidents on the water's surface is crucial for timely monitoring and cleanup efforts, especially to protect ...
F. M. Kelechi, A. A. Aribisala
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Oil spill detection using GLCM and MRF
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005This paper presents a study for oil spill detection in three steps. The first one considers the texture as a two dimensions array, and to describe the statistics iteration between pixels the algorithm computes a textural feature related with the Gray Level Co-occurrence Matrix (GLCM).
L Lopez, M Moctezuma, F Parmiggiani
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Presentation about the WITOIL Service delivered as part of the iMagine webinar series (09/04/2025).
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SAR images thresholding for oil spill detection
2013 Saudi International Electronics, Communications and Photonics Conference, 2013This paper presents a new algorithm for Synthetic Aperture Radar (SAR) images segmentation based on thresholding technique for oil spill detection. Generally, segmentation of a SAR image falls into two categories; one based on grey levels and the other based on texture. The present paper deals with SAR images segmentation based on grey levels.
Ali El-Zaart, Ali A. Ghosn
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Detection of oil spills by airborne sensors
2006Aerial surveillance of marine oil spills has become a multinational effort, especially for the deterrence of potential polluters and support of oil spill clean-up crews. For many years, the main effort has been directed towards developing sensors with enhanced spill monitoring capabilities.
Oliver Zielinski +2 more
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Empirical Analysis of Oil Spill Detection Methods
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing SymposiumThe present work was carried out in the framework of AI-OBSERVER project (https://ai-observer.eu/) titled "Enhancing Earth Observation capabilities of the Eratosthenes Centre of Excellence on Disaster Risk Reduction through Artificial Intelligence", that has received funding from the European Union’s Horizon Europe Framework Programme HORIZON-WIDERA ...
Kalogirou, Eleftheria +5 more
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Advanced Space Technology for Oil Spill Detection
2009Environmental pollution, including oil spill is one of the major ecological problems. Negative human impacts demands to develop appropriate legislations within the national and international framework for marine and coastal environment as well as the onshore protection.
Maral H. Zeynalova +2 more
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Oil Spill Detection Technique with Automatic Updating Using Deep Learning and Oil Spill Index
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Dae-Woon Shin +2 more
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Oil Spill Detection with Imaging Airborne Radar
1992In the field of remote sensing the German Aerospace Research Establishment (DLR) carries out different experiments with different sensors or sensor packages. Some of them are imaging airborne radar systems used for land and sea surface monitoring. The all-weather capability of these real and synthetic aperture radars enables the detection of oil spills
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