Oil spill detection and mapping using deep learning (OSDMDL) is crucial for assessing its
impact on coastal and marine ecosystems. A novel approach was employed in this study to …

Marine oil spills can cause severe damage to the marine environment and biological
resources. Using satellite remote sensing technology is one of the best ways to monitor the …

One of the major threats to marine ecosystems is pollution, particularly, that associated with
the offshore oil and gas industry. Oil spills occur in the world's oceans every day, either as …

In the oil industry, oil spills occur due to offshore rig explosions, ship collisions, and other
reasons. It is crucial to accurately and rapidly identify oil spills to protect marine ecosystems …

Oil spills are a worldwide concern since they cause environmental problems and financial
losses. Automatic detection plays a crucial role in rapid decision-making to reduce damage …

The increasingly frequent marine oil spill disasters have great harm to the marine
ecosystem. As an essential means of remote sensing monitoring, synthetic aperture radar …

This study aims to monitor and map the oil spills which occurred from 2019 to 2021 along
the northeastern portion of the Nile Delta using Sentinel-1 (SAR) and Sentinel-2 (MSI) data …

Petroleum is still the most important energy source globally and essential to daily human
activities. Its exploration in deep waters and the logistics-related operations present the risk …

The lack of labeled samples severely restricts the classification performance of deep
learning on hyperspectral image classification. To solve this problem, Generative …

Synthetic aperture radar (SAR) has been widely applied in oil spill detection on the sea
surface due to the advantages of wide area coverage, all-weather operation, and multi …