Remote sensing technologies and machine learning (ML) algorithms play an increasingly
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …

Effective marine oil spill management (MOSM) is crucial to minimize the catastrophic
impacts of oil spills. MOSM is a complex system affected by various factors, such as …

Pipelines are one of the most common systems for storing and transporting petroleum
products, both liquid and gaseous. Despite the durable structures, leakages can occur for …

Recently, methods based on deep learning have been successfully applied to ship detection
for synthetic aperture radar (SAR) images. However, most current ship detection networks …

Oil leaks onto water surfaces from big tankers, ships, and pipeline cracks cause
considerable damage and harm to the marine environment. Synthetic Aperture Radar (SAR) …

Oil spills have caused serious harm to the marine environment. Remote sensing technology
is one of the important tools for marine environment monitoring. Synthetic aperture radar …

Oil spill accidents can cause severe ecological disasters; hence, the timely and effective
detection of oil spills on the marine surface is of great significance. Synthetic aperture radar …

Oil spill (OS), as one of the main pollutions in the ocean, is a serious threat to the marine
environment. Thus, timely and accurate OS detection (OSD) is necessary for ocean …

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 …

Abstract Synthetic Aperture Radar (SAR) imagery can be beneficial for segmenting oil spills,
which are a common environmental hazard. Oil spill detection in SAR imagery faces several …