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An Improved Method for Oil Spill Detection
2018 6th International Conference on Multimedia Computing and Systems (ICMCS), 2018Constrained energy minimization (CEM) extracts target signatures from hyperspectral images and multispectral images by suppressing the energy of background using a FIR filter. While the energy of background is described by the correlation matrix of the whole image, the target signatures could also be suppressed if they occupy a large proportion of the ...
Qianyu Wu +2 more
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One-class classification for oil spill detection
Pattern Analysis and Applications, 2009SAR oil spill classification is a challenging topic, which is tackled by semi-empirical ad hoc approaches supported by very qualified experts. In all cases, the feature space is empirically defined, and two-class classification approaches are used. Although this approach allows achieving acceptable operational results, there is still room for improving
Attilio Gambardella +3 more
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Multisource oil spill detection
SPIE Proceedings, 2013In this paper we discuss how multisource data (wind, ocean-current, optical, bathymetric, automatic identification systems (AIS)) may be used to improve oil spill detection in SAR images, with emphasis on the use of automatic oil spill detection algorithms. We focus particularly on AIS, optical, and bathymetric data.
Arnt B. Salberg +2 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 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).
Ludwin Lopez +2 more
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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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Research on polarization of oil spill and detection
Acta Oceanologica Sinica, 2016The SAR (Synthetic Aperture Radar) has the capabilities for all-weather day and night use. In the case of determining the effects of oil spill dumping, the oil spills areas are shown as dark spots in the SAR images. Therefore, using SAR data to detect oil spills is becoming progressively popular in operational monitoring, which is useful for oceanic ...
Yang Cai +3 more
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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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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 technology for early warning spill prevention
OCEANS 2009, 2009This paper discusses the development of an oil spill detection and alarm system that provides the marine industry with a reliable, cost-saving mechanism for containing and/or preventing accidental discharges of hydrocarbon-based pollutants. By utilizing an automated spill detection system, hydrocarbon releases are detected in real-time [analogous to a “
Ray Mahr, Chris R. Chase
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