Results 221 to 230 of about 3,219 (267)

Oil spill detection from polarimetric SAR image

IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010
A new combined feature is proposed based on polarimetric features extraction. Moreover, a new oil spills detection method is developed based on the combined feature and max entropy segmentation. The application to NASA/JPL SIR-C data shows that the new combined feature and detection method are effective to oil spills detection.
Wang Wenguang, Lu Fei, Wu Peng, Wang Jun
openaire   +1 more source

Oil spill detection using hyperspectral infrared camera

SPIE Proceedings, 2017
Oil 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, Qun Wang, Zhen Zhang, Zhi-jie Zhang, Wei Tang, Xin Tang, Song Yue, Chen-sheng Wang   +7 more
openaire   +1 more source

Machine Learning Approach to Oil Spill Detection

SPE Nigeria Annual International Conference and Exhibition
Abstract 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
openaire   +1 more source

Oil spill detection using GLCM and MRF

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
This 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
openaire   +3 more sources

UC4 - Oil Spill Detection

Presentation about the WITOIL Service delivered as part of the iMagine webinar series (09/04/2025).
openaire   +1 more source

SAR images thresholding for oil spill detection

2013 Saudi International Electronics, Communications and Photonics Conference, 2013
This 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
openaire   +1 more source

Detection of oil spills by airborne sensors

2006
Aerial 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, Theo Hengstermann, Nils Robbe   +2 more
openaire   +1 more source

Empirical Analysis of Oil Spill Detection Methods

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
The 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, Mavrovouniotis, Michalis, Tzouvaras, Marios, Mettas, Christodoulos, Evagorou, Evagoras, Hadjimitsis, Diofantos   +5 more
openaire   +2 more sources

Advanced Space Technology for Oil Spill Detection

2009
Environmental 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, Rustam B. Rustamov, Saida E. Salahova   +2 more
openaire   +1 more source

Oil Spill Detection Technique with Automatic Updating Using Deep Learning and Oil Spill Index

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Dae-Woon Shin, Chan-Su Yang, Won-Jun Choi   +2 more
openaire   +1 more source