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Dual-frequency oil spill detection algorithm
2017 Computing and Electromagnetics International Workshop (CEM), 2017In this paper, we present a drone dual-frequency technique in order to detect thick oil slicks in ocean. From physical point of view, the problem is considered to be a multi-layers wave surface scattering model where we study the reflection of the electromagnetic (EM) waves from the sea layer covered by oil layer.
Bilal Hammoud +6 more
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Oil spill detection using microwave images
2013 Fifth International Conference on Advanced Computing (ICoAC), 2013Oil pollution is the major environmental concern in the world. It is important to detect oil spill and take necessary step to prevent pollution in marine ecosystem. Among several satellite, SAR can provide high resolution images with wide area coverage, day and night, and all weather capabilities. This paper presents anisotropic diffusion filtering and
P. Saranya, K. Vani
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Oil spill detection in SAR imagery
Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 2002The possibilities for automatic segmentation of oil slicks and oil slick look-alikes in ERS-1 SAR imagery is investigated. "Spots" in the images are detected using adaptive thresholding and statistical classification of oil slick candidates is performed using geometric properties and gradient-based features. Promising results are shown, but the methods
K.W. Bjerde, A.H.S. Solberg, R. Solberg
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OIL SPILL DETECTION WITH REMOTE SENSORS
Proceedings of the 19th Conference for Junior Researchers „Science – Future of Lithuania“, 2016Accurate detection and forecasting of oil spills and their trajectories is beneficial for monitoring and conservation of the marine environment. The most common techniques of oil spill tracking are remote sensing from an aircraft and satellites.
Kristina Pilžis, Vaidotas Vaišis
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Oil spill detection with fully polarimetric UAVSAR data
Marine Pollution Bulletin, 2011In this study, two ocean oil spill detection approaches based on four scattering matrices measured by fully polarimetric synthetic aperture radar (SAR) are presented and compared. The first algorithm is based on the co-polar correlation coefficient, ρ, and the scattering matrix decomposition parameters, Cloud entropy (H), mean scattering angle (α) and ...
Peng, Liu +5 more
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Laser radar for remote detection of oil spills
Applied Optics, 1978A laser radar system that is capable of remotely detecting oil spills, in the daytime and at night, in sea water has been developed. The system employs the second harmonic and fourth harmonic of a repetitively Q-switched Nd:YAG laser as the light sources and a gated optical multichannel analyzer as a high speed detection device.
T, Sato +4 more
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Oil spill detection by satellite remote sensing
Remote Sensing of Environment, 2005This paper presents the state of the art for oil spill detection in the world oceans. We discuss different satellite sensors and oil spill detectability under varying conditions. In particular, we concentrate on the use of manual and automatic approaches to discriminate between oil slicks and look-alikes based on pattern recognition. We conclude with a
Camilla Brekke, Anne H.S. Solberg
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Oil spill detection using marine SAR images
International Journal of Remote Sensing, 2000A probabilistic approach to distinguish oil spills from other similar oceanic features in marine Synthetic Aperture Radar (SAR) images has been developed and tested. The method uses statistical information obtained from previous mesurements of physical and geometrical characteristics for both oil spill and natural features.
Fiscella B +4 more
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Oil spills detection on different underlying surfaces
SPIE Proceedings, 2012Oil spills detection algorithm for different underlying surfaces was developed. It was shown, that in order to detect oil spills with high probability of correct detection and low probability of false alarm it wasn’t enough to use correlation analysis only.
Yu. V. Fedotov +3 more
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Oil spill detection from polarimetric SAR image
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010A 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
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