Hyperspectral remote sensing is currently being used to detect and monitor marine oil spills that cause damage to the environment. However, nonlinear interactions of oil and water make it difficult to extract their fractional abundances from the spectral response. Improving the modelling of nonlinear ...
The remote sensing monitoring data obtained from this sea area for the past 10 years also show that the distribution of oil spills in the Bohai Sea and the shipping routes largely overlap, while the relationship between the platform locations and oil spill distribution is relatively weak (Ding ...
Oil spill events have caused serious damage to the ocean environment in the past decade. Although the magnitude of most oil spills is less than 7 tons, large spills over 700 tons are likely to degrade and destroy a variety of marine biodiversity and perturb ecosystem functioning according to da...
Machine Learning for the Detection of Oil Spills in Satellite Radar Imagesdoi:10.1023/A:1007452223027MiroslavKubatRobertC.HolteStanMatwinSpringerMachine Learning
The polarimetric features of oil spills in full polarimetric synthetic aperture radar images 完整的测定偏振的合成的孔雷达给喷洒察觉上油multipolarization 特征与极化单人赛的合成的孔相比,雷达(SAR ) 想象,完整的测定偏振的 SAR 图象包含不仅几何,向后散布的特征,而且散布目标的极化特征.因此,测定偏振的 SAR 在...
The discriminant cut is used to segment the oil spills in synthetic aperture radar (SAR) images. The proposed approach is a region-based one, which is able to capture and utilize spatial information in SAR images. The real SAR images, i.e. ALOS-1 PALSAR and Sentinel-1 SAR images were ...
Therefore, the polarimetric SAR has more advantages for oil spill detection on the sea surface. As a crucial step in the oil spill detection, a feature extraction directly influences the accuracy of oil spill discrimination. The polarimetric features of sea oil spills, such as polarimetric entropy...
It also represents 92.6581% accuracy for crude oil using SYMLET 5 analysis which indicates better characterization of oil spills. Results denote oil spill detection using synthetic-aperture radar (SAR) remote sensing which provides an excellent tool in oil spill characterization; various features can ...
Oil Spills (OS) exert serious threats to marine ecosystems, hence quick and accurate monitoring of OS is of great significance. In recent years, the Synthetic Aperture Radar (SAR) remote sensing technique has been used to monitor OS because of its wide coverage and operating in any weather con...
Today we can observe ocean pollution in the shape of massive plastic stains (the Pacific stain, for instance, is currently twice the size of the A tool for oil spill detection Our research team constructed a tool to monitor coastlines by searching for spills, which received the name of “...