Research graph
References from Marine oil spill pollution detection in remote sensing imagery using semantic sub-prototype modeling. Local targets link to admitted publications; unresolved targets remain external evidence.
Large-scale detection and categorization of oil spills from SAR images with deep learning
10.3390/rs12142260 · 2020 · External reference
Oil spill detection by satellite remote sensing
10.1016/j.rse.2004.11.015 · 2005 · External reference
GCNet: Non-local networks meet squeeze-excitation networks and beyond
2019 · External reference
TransOilSeg: A novel SAR oil spill detection method addressing data limitations and look-alike confusions
2025 · External reference
LinkNet: Exploiting encoder representations for efficient semantic segmentation
2017 · External reference
Unresolved reference
2017 · External reference
Unresolved reference
2017 · External reference
OSDMamba: Enhancing oil spill detection from remote sensing images using selective state space model
2025 · External reference
A novel feature enhancement and semantic segmentation scheme for identifying low-contrast ocean oil spills
10.1016/j.marpolbul.2023.115874 · 2024 · External reference
10.1007/978-3-030-01234-2_49
10.1007/978-3-030-01234-2_49 · External reference
A two-stage oil spill detection method based on an improved superpixel module and DeepLab V3+ using SAR images
2025 · External reference
Unresolved reference
2024 · External reference
ImageNet: A large-scale hierarchical image database
2009 · External reference
SGDBNet: A scene-class guided dual branch network for port UAV images oil spill detection
10.1016/j.marpolbul.2024.117019 · 2024 · External reference
SAGPNet: A shape-aware and adaptive strip self-attention guided progressive network for SAR marine oil spill detection
10.1016/j.marenvres.2024.106904 · 2025 · External reference
MA-Net: A multi-scale attention network for liver and tumor segmentation
10.1109/access.2020.3025372 · 2020 · External reference
Review of oil spill remote sensing
10.1016/j.marpolbul.2014.03.059 · 2014 · External reference
GSSNet: Gated selective scan network for port oil spill pollution detection
10.1016/j.measurement.2025.118086 · 2025 · External reference
DADS-SAM: DALoRA and DSCA enhanced fine-tuning for port oil spill detection using UAV imagery
2025 · External reference
SegNeXt: Rethinking convolutional attention design for semantic segmentation
2022 · External reference
Deep residual learning for image recognition
2016 · External reference
A deep learning-based method for marine oil spill detection and its application in UAV imagery
10.1016/j.marpolbul.2025.118889 · 2026 · External reference
Advances in remote sensing for oil spill disaster management: State-of-the-art sensors technology for oil spill surveillance
10.3390/s8010236 · 2008 · External reference
Oil spill identification from satellite images using deep neural networks
10.3390/rs11151762 · 2019 · External reference
State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill
10.1016/j.rse.2012.03.024 · 2012 · External reference
DS-UNet: Dual-stream U-Net for oil spill detection of SAR image
2023 · External reference
Unresolved reference
2018 · External reference
Feature pyramid networks for object detection
2017 · External reference
10.1109/cvpr52688.2022.01170
10.1109/cvpr52688.2022.01170 · External reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · External reference
10.1109/cvpr52688.2022.01167
10.1109/cvpr52688.2022.01167 · External reference
10.1109/cvpr.2015.7298965
10.1109/cvpr.2015.7298965 · External reference
Unresolved reference
2019 · External reference
Deep learning in remote sensing applications: A meta-analysis and review
10.1016/j.isprsjprs.2019.04.015 · 2019 · External reference
Adaptive thresholding algorithm based on SAR images and wind data to segment oil spills along the Northwest Coast of the Iberian Peninsula
10.1016/j.marpolbul.2012.07.018 · 2012 · External reference
V-Net: Fully convolutional neural networks for volumetric medical image segmentation
2016 · External reference
Image segmentation using deep learning: A survey
2022 · External reference
Unresolved reference
2024 · External reference
A semi-empirical threshold model for oil spill detection by analyzing microwave backscatter of ocean surface from sentinel-1 C-band SAR data
10.1109/lgrs.2024.3355464 · 2024 · External reference
U-Net: Convolutional networks for biomedical image segmentation
2015 · External reference
Prototypical networks for few-shot learning
2017 · External reference
Automatic detection of oil spills in ERS SAR images
10.1109/36.774704 · 1999 · External reference
Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations
2017 · External reference
Unresolved reference
External reference
Oil spill detection by SAR images: Dark formation detection, feature extraction and classification algorithms
10.3390/s8106642 · 2008 · External reference
10.1109/iccv.2019.00929
10.1109/iccv.2019.00929 · External reference
10.1007/978-3-030-01234-2_1
10.1007/978-3-030-01234-2_1 · External reference
Compositional oil spill detection based on object detector and adapted segment anything model from SAR images
2024 · External reference
10.1007/978-3-030-01228-1_26
10.1007/978-3-030-01228-1_26 · External reference
SegFormer: Simple and efficient design for semantic segmentation with transformers
2021 · External reference
PetroAnalyticNet: Applying separable dilated convolutions for drone-captured oil spill segmentation in ports
10.1016/j.aej.2026.03.048 · 2026 · External reference
Pyramid scene parsing network
2017 · External reference
UNet++: A nested U-Net architecture for medical image segmentation
2018 · External reference
Rethinking semantic segmentation: A prototype view
2022 · External reference
Deep learning in remote sensing: A comprehensive review and list of resources
10.1109/mgrs.2017.2762307 · 2017 · External reference
10.1007/978-3-030-01228-1_26
10.1007/978-3-030-01228-1_26 · ExternalCitation · doi-reference
10.1007/978-3-030-01234-2_1
10.1007/978-3-030-01234-2_1 · ExternalCitation · doi-reference
10.1007/978-3-030-01234-2_49
10.1007/978-3-030-01234-2_49 · ExternalCitation · doi-reference
PetroAnalyticNet: Applying separable dilated convolutions for drone-captured oil spill segmentation in ports
10.1016/j.aej.2026.03.048 · ExternalCitation · doi-reference
Deep learning in remote sensing applications: A meta-analysis and review
10.1016/j.isprsjprs.2019.04.015 · ExternalCitation · doi-reference
SAGPNet: A shape-aware and adaptive strip self-attention guided progressive network for SAR marine oil spill detection
10.1016/j.marenvres.2024.106904 · ExternalCitation · doi-reference
Adaptive thresholding algorithm based on SAR images and wind data to segment oil spills along the Northwest Coast of the Iberian Peninsula
10.1016/j.marpolbul.2012.07.018 · ExternalCitation · doi-reference
Review of oil spill remote sensing
10.1016/j.marpolbul.2014.03.059 · ExternalCitation · doi-reference
A novel feature enhancement and semantic segmentation scheme for identifying low-contrast ocean oil spills
10.1016/j.marpolbul.2023.115874 · ExternalCitation · doi-reference
SGDBNet: A scene-class guided dual branch network for port UAV images oil spill detection
10.1016/j.marpolbul.2024.117019 · ExternalCitation · doi-reference
A deep learning-based method for marine oil spill detection and its application in UAV imagery
10.1016/j.marpolbul.2025.118889 · ExternalCitation · doi-reference
GSSNet: Gated selective scan network for port oil spill pollution detection
10.1016/j.measurement.2025.118086 · ExternalCitation · doi-reference
Oil spill detection by satellite remote sensing
10.1016/j.rse.2004.11.015 · ExternalCitation · doi-reference
State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill
10.1016/j.rse.2012.03.024 · ExternalCitation · doi-reference
Automatic detection of oil spills in ERS SAR images
10.1109/36.774704 · ExternalCitation · doi-reference
MA-Net: A multi-scale attention network for liver and tumor segmentation
10.1109/access.2020.3025372 · ExternalCitation · doi-reference
10.1109/cvpr.2015.7298965
10.1109/cvpr.2015.7298965 · ExternalCitation · doi-reference
10.1109/cvpr52688.2022.01167
10.1109/cvpr52688.2022.01167 · ExternalCitation · doi-reference
10.1109/cvpr52688.2022.01170
10.1109/cvpr52688.2022.01170 · ExternalCitation · doi-reference
10.1109/iccv.2019.00929
10.1109/iccv.2019.00929 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · ExternalCitation · doi-reference
A semi-empirical threshold model for oil spill detection by analyzing microwave backscatter of ocean surface from sentinel-1 C-band SAR data
10.1109/lgrs.2024.3355464 · ExternalCitation · doi-reference
Deep learning in remote sensing: A comprehensive review and list of resources
10.1109/mgrs.2017.2762307 · ExternalCitation · doi-reference
Oil spill identification from satellite images using deep neural networks
10.3390/rs11151762 · ExternalCitation · doi-reference
Large-scale detection and categorization of oil spills from SAR images with deep learning
10.3390/rs12142260 · ExternalCitation · doi-reference
Advances in remote sensing for oil spill disaster management: State-of-the-art sensors technology for oil spill surveillance
10.3390/s8010236 · ExternalCitation · doi-reference
Oil spill detection by SAR images: Dark formation detection, feature extraction and classification algorithms
10.3390/s8106642 · ExternalCitation · doi-reference
