UAV remote sensing applications in marine monitoring: Knowledge visualization and review

Z Yang, X Yu, S Dedman, M Rosso, J Zhu… - Science of The Total …, 2022 - Elsevier
With the booming development of information technology and the growing demand for
remote sensing data, unmanned aerial vehicle (UAV) remote sensing technology has …

Marine environmental monitoring with unmanned vehicle platforms: Present applications and future prospects

S Yuan, Y Li, F Bao, H Xu, Y Yang, Q Yan… - Science of The Total …, 2023 - Elsevier
Basic monitoring of the marine environment is crucial for the early warning and assessment
of marine hydrometeorological conditions, climate change, and ecosystem disasters. In …

Applications of AI in oil and gas projects towards sustainable development: a systematic literature review

A Waqar, I Othman, N Shafiq, MS Mansoor - Artificial Intelligence Review, 2023 - Springer
Oil and gas construction projects are critical for meeting global demand for fossil fuels, but
they also present unique risks and challenges that require innovative construction …

[HTML][HTML] Sensors, features, and machine learning for oil spill detection and monitoring: A review

R Al-Ruzouq, MBA Gibril, A Shanableh, A Kais… - Remote Sensing, 2020 - mdpi.com
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 …

A novel deep learning instance segmentation model for automated marine oil spill detection

ST Yekeen, AL Balogun, KBW Yusof - ISPRS Journal of Photogrammetry …, 2020 - Elsevier
The visual similarity of oil slick and other elements, known as look-alike, affects the reliability
of synthetic aperture radar (SAR) images for marine oil spill detection. So far, detection and …

Uncrewed aerial systems in water resource management and monitoring: a review of sensors, applications, software, and issues

V Mishra, R Avtar, AP Prathiba… - Advances in Civil …, 2023 - Wiley Online Library
Uncrewed aerial systems (UASs) are becoming very popular in the domain of water
resource map** and management (WRMM). Being a cheaper and quicker option capable …

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 …

Advanced bioremediation by an amalgamation of nanotechnology and modern artificial intelligence for efficient restoration of crude petroleum oil-contaminated sites …

R Patowary, A Devi, AK Mukherjee - Environmental Science and Pollution …, 2023 - Springer
Crude petroleum oil spillage is becoming a global concern for environmental pollution and
poses a severe threat to flora and fauna. Bioremediation is considered a clean, eco-friendly …

[HTML][HTML] A deep-learning framework for the detection of oil spills from SAR data

M Shaban, R Salim, H Abu Khalifeh, A Khelifi… - Sensors, 2021 - mdpi.com
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) …

Real-time defect identification of narrow overlap welds and application based on convolutional neural networks

R Miao, Z Shan, Q Zhou, Y Wu, L Ge, J Zhang… - Journal of Manufacturing …, 2022 - Elsevier
To improve the quality of narrow overlap welds and reduce cost during the high-strength
production, it is essential to detect weld defects promptly by identification of the type of …