Oil spill detection system in the arabian gulf region: An azure machine-learning approach

S Almeer, F Albalooshi… - … Conference on Innovation …, 2021 - ieeexplore.ieee.org
Locating oil spills is a crucial portion of an effective marine contamination administration. In
this paper, we address the issue of oil spillage location exposure within the Arabian Gulf …

Deep Learning-Based Detection of Oil Spills in Pakistan's Exclusive Economic Zone from January 2017 to December 2023

A Basit, MA Siddique, S Bashir, E Naseer, MS Sarfraz - Remote Sensing, 2024 - mdpi.com
Oil spillages on a sea's or an ocean's surface are a threat to marine and coastal ecosystems.
They are mainly caused by ship accidents, illegal discharge of oil from ships during cleaning …

OilSpillNet: Deep Learning Model for Synthetic Aperture Radar Imagery Oil Spill Detection

TW Ghonaime, AF Al-Sadek - 2023 Intelligent Methods …, 2023 - ieeexplore.ieee.org
The objective of this study is to enhance the precision of oil spill identification and division
utilizing the benefits of Synthetic Aperture Radar (SAR) imagery. The capacity of SAR …

Oil spill detection based on machine learning and deep learning: a review

AA Huby, R Sagban, R Alubady - 2022 5th International …, 2022 - ieeexplore.ieee.org
For many years, oil spills have posed a huge and inescapable threat to the seas and
oceans. Hence, it is noted that oil spills caused by the purposeful or unintentional discharge …

Oil Spill Detection using Synthetic Aperture Radar

MS Sriya, CS Rawat - 2022 Sixth International Conference on I …, 2022 - ieeexplore.ieee.org
Oil spills are a global issue because they generate environmental difficulties as well as
financial losses. Automatic detection is critical in making quick decisions to minimize harm …

Realtime oil spill detection by image processing of synthetic aperture radar data

S Adhikary, SP Tiwari… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Marine transportation has high economic importance because the majority of the physical
goods trades occurs via sea routes. However, minor and major oil spills can occur for a …

Oil spill detection using in Sentinel-1 satellite images based on Deep learning concepts

S Dehghani, M Akhoondzadeh Hanzaei - Journal of Geomatics …, 2023 - jgst.issgeac.ir
Awareness of the marine area is very important for crisis management in the event of an
accident. Oil spills are one of the main threats to the marine and coastal environments and …

Variable-complexity machine learning models for large-scale oil spill detection: The case of Persian Gulf

S Najafizadegan, M Danesh-Yazdi - Marine Pollution Bulletin, 2023 - Elsevier
Oil spill is the main cause of marine pollution in the waterbodies with rich oil resources. In
this study, we developed and compared the performance of variable-complexity machine …

[HTML][HTML] Oil spill detection and classification through deep learning and tailored data augmentation

NA Bui, Y Oh, I Lee - International Journal of Applied Earth Observation and …, 2024 - Elsevier
Oil spill detection is an important task for protecting and minimizing the harmful effects of oil
on the marine ecosystem. Currently, the application of images from unmanned aerial …

A deep learning based oil spill detector using Sentinel-1 SAR imagery

YJ Yang, S Singha, R Mayerle - International Journal of Remote …, 2022 - Taylor & Francis
ABSTRACT The Eastern Mediterranean Sea has been known as an oil pollution hotspot due
to its heavy marine traffic and an increasing number of oil and gas exploration activities. To …