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 ...
Due to the homogeneity of the proposed algorithm it is suitable to be implemented in a quite efficient way. This work is focused to detect oil spills produced for cleaning the tanks of the oil tankers. Nevertheless, the main idea of the proposed algorithm is that it can be used with no ...
Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible? Optical remote sensing (ORS) of reflected sun light has been used to assess oil spills in the ocean for several decades. While most applications are toward... C Hu,Y Lu,S Sun,... - 国际遥感学报(英文) 被引量...
A Neural Network Approach to Oil Spill Detection using SAR Data Synthetic Aperture Radar (SAR) images are extensively used for the determination of oil spills in the marine environment, as they are not affected by local weather condition and cloudiness. However, radar backscatter values for oil sp...
A speckle model to characterize low backscatter areas and areas with strong scatterers in marine SLC SAR images is presented. The model allows using high resolution speckled SAR images instead of dealing with multi-look SAR images where, at the expense of a poorer spatial resolution, the speckle...
An ANN algorithm was used to generate probability maps of oil spills. Highly accurate pixel-based data processing was conducted through false or un-detection element reduction by normalizing the image or applying a non-local (NL) means filter and median filter to the input neurons for ANN. In...
The results show the great capability of monitoring and forecasting marine oil spills caused by large oil tanker accidents by means of the use of radar imagery jointly with other information, such as wind data or in situ observations.J. M. Torres Palenzuela...
offeraneconomicalandeasierwayofcontinuous coastareaspatrolling.SARimageshavebeenwidelyusedforoilspilldetection.The presentpapergivesanoverviewofthemethodologiesusedtodetectoilspillsontheradar images.Inparticularweconcentrateontheuseofthemanualandautomaticapproachesto distinguishoilspillsfromothernaturalphenomena.Wediscuss...
Finally, a binary image can be produced in order to reduce the data volume. By overlaying sequential binary images from different imaging time, the evolution of mesoscale features such as fronts, oil spills, and eddies can be monitored by wavelet analysis using satellite data from subsequent ...
Oil spills in the ocean are a serious marine disaster that needs regular monitoring for environmental risk assessment and mitigation. Recent use of Polarimetric SAR imagery in near real time oil spill detection systems is associated with attempts towards automatic and unambiguous oil spill detection ...