The technical aspects of oil spill remote sensing are examined and the practical uses and
drawbacks of each technology are given with a focus on unfolding technology. The use of …

This paper studies the oil spill, which occurred in the Norilsk and Taimyr region of Russia
due to the collapse of the fuel tank at the power station on May 29, 2020. We monitored the …

Oil spill incidents contaminate water bodies, and damage the coastal and marine
environment including coral reefs and mangroves, and therefore, monitoring the oil spills is …

Oil spills from tanker ships provide adverse and irreversible impacts of a pollutant over
coastal and marine environments. Using Sentinel-1 and 2 satellite images, this baseline …

Featured Application Using polarimetric synthetic aperture radar (SAR) remote sensing to
detect and classify sea surface oil spills, for the early warning and monitoring of marine oil …

In the automatic credit card transaction classification there are two phases: in the Real-Time
(RT) phase the system decides quickly, based on the bare transaction information, whether …

Considering the classification of high spatial resolution remote sensing imagery, this paper
presents a novel classification method for such imagery using deep neural networks. Deep …

Success in supervised learning is constrained by availability of an adequate labeled data
sample for training. The problem of a complete labeling of every data of the training dataset …

Oil slicks and lookalikes (eg, plant oil and oil emulsion) all appear as dark areas in
polarimetric Synthetic Aperture Radar (SAR) images and are highly heterogeneous, so it is …

Inspired by the behavior of dandelion sowing, a new novel swarm intelligence algorithm,
namely, dandelion algorithm (DA), is proposed for global optimization of complex functions …