[HTML][HTML] Management and sustainable exploitation of marine environments through smart monitoring and automation

F Glaviano, R Esposito, AD Cosmo, F Esposito… - Journal of Marine …, 2022 - mdpi.com
Monitoring of aquatic ecosystems has been historically accomplished by intensive
campaigns of direct measurements (by probes and other boat instruments) and indirect …

[HTML][HTML] Deep learning-based approaches for oil spill detection: A bibliometric review of research trends and challenges

RN Vasconcelos, ATC Lima, CAD Lentini… - Journal of Marine …, 2023 - mdpi.com
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 …

Noise-robust oversampling for imbalanced data classification

Y Liu, Y Liu, XB Bruce, S Zhong, Z Hu - Pattern Recognition, 2023 - Elsevier
The class imbalance problem is characterized by an unequal data distribution in which
majority classes have a greater number of data samples than minority classes …

Oil spill contextual and boundary-supervised detection network based on marine SAR images

Q Zhu, Y Zhang, Z Li, X Yan, Q Guan… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
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 …

GreyWolfLSM: An accurate oil spill detection method based on level set method from synthetic aperture radar imagery

N Aghaei, G Akbarizadeh… - European Journal of …, 2022 - Taylor & Francis
Oil spill detection (OSD) in marine areas is an application of synthetic aperture radar (SAR)
images to protect aquatic life. In this paper, a new oil spill detection algorithm based on level …

Detection of marine oil spills from radar satellite images for the coastal ecological risk assessment

X Ma, J Xu, J Pan, J Yang, P Wu, X Meng - Journal of Environmental …, 2023 - Elsevier
Coastal ecosystems offer substantial support and space for the sustainable development of
human society, and hence the ecological risk evaluation of coastal ecosystems is of great …

Tracking the behavior of an accidental oil spill and its impacts on the marine environment in the Eastern Mediterranean

RM Abou Samra, RR Ali - Marine Pollution Bulletin, 2024 - Elsevier
The eastern Mediterranean region is a vital hub for oil transportation and production
because of its strategic location between Europe, Asia, and Africa. But its unique attributes …

Ocean oil spill detection from SAR images based on multi-channel deep learning semantic segmentation

R Hasimoto-Beltran, M Canul-Ku, GMD Méndez… - Marine Pollution …, 2023 - Elsevier
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 …

[HTML][HTML] Deep convolutional neural network for large-scale date palm tree mapping from UAV-based images

MBA Gibril, HZM Shafri, A Shanableh, R Al-Ruzouq… - Remote Sensing, 2021 - mdpi.com
Large-scale mapping of date palm trees is vital for their consistent monitoring and
sustainable management, considering their substantial commercial, environmental, and …

A self-evolving deep learning algorithm for automatic oil spill detection in Sentinel-1 SAR images

C Li, D Kim, S Park, J Kim, J Song - Remote Sensing of Environment, 2023 - Elsevier
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 …