Due to the abundant features of high spatial resolution (HSR) remote sensing images,
change detection of these images is crucial to understanding the land-use and land-cover …

Underwater image enhancement (UIE) technology aims to tackle the challenge of restoring
the degraded underwater images due to light absorption and scattering. Meanwhile, the …

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 …

Hyperspectral oil spill mapping aims to distinguish the type of oil spill. Recently, most
hyperspectral oil spill detection methods are based on supervised methods that work well …

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 …

Oil spill mapping is a very challenging problem in marine environmental monitoring. In this
article, the potential of hyperspectral image (HSI) classification for mapping oil spills is …

This study evaluates the performance of three typical convolutional neural network based
deep learning algorithms for oil spill detection using medium-resolution optical satellite …

Oil spill accidents are one of the major problems causing marine pollution, and thus such
accidents require rapid detection for early response. In recent years, deep learning …

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 …

Marine pollution, a major disturbance to the sustainable use of oceans, is becoming more
prevalent around the world. Multidimensional and sustainable ocean governance have …