[HTML][HTML] Remote sensing monitoring of rice diseases and pests from different data sources: A review

Q Zheng, W Huang, Q **a, Y Dong, H Ye, H Jiang… - Agronomy, 2023 - mdpi.com
Rice is an important food crop in China, and diseases and pests are the main factors
threatening its safety, ecology, and efficient production. The development of remote sensing …

[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 …

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 …

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 …

[HTML][HTML] Detecting marine pollutants and sea surface features with deep learning in sentinel-2 imagery

K Kikaki, I Kakogeorgiou, I Hoteit… - ISPRS Journal of …, 2024 - Elsevier
Despite the significant negative impact of marine pollution on the ecosystem and humans, its
automated detection and tracking from the broadly available satellite data is still a major …

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 …

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 …

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 …

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 …

Utilizing deep learning algorithms for automated oil spill detection in medium resolution optical imagery

Z Sun, Q Yang, N Yan, S Chen, J Zhu, J Zhao… - Marine Pollution …, 2024 - Elsevier
This study evaluates the performance of three typical convolutional neural network based
deep learning algorithms for oil spill detection using medium-resolution optical satellite …