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[HTML][HTML] Recent developments in artificial intelligence in oceanography
C Dong, G Xu, G Han, BJ Bethel, W ** using deep learning (OSDMDL) is crucial for assessing its
impact on coastal and marine ecosystems. A novel approach was employed in this study to …
impact on coastal and marine ecosystems. A novel approach was employed in this study to …
[HTML][HTML] Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
In this paper, the urinary bladder cancer diagnostic method which is based on Multi-Layer
Perceptron and Laplacian edge detector is presented. The aim of this paper is to investigate …
Perceptron and Laplacian edge detector is presented. The aim of this paper is to investigate …
[HTML][HTML] An assessment of oil spill detection using Sentinel 1 SAR-C images
Identification of an oil spill is additionally essential to evaluate the potential spread and float
from the source to the adjacent coastal terrains. In such manner, usage of Synthetic Aperture …
from the source to the adjacent coastal terrains. In such manner, usage of Synthetic Aperture …
Dark spot detection in SAR images of oil spill using segnet
H Guo, G Wei, J An - Applied Sciences, 2018 - mdpi.com
Dam** Bragg scattering from the ocean surface is the basic underlying principle of
synthetic aperture radar (SAR) oil slick detection, and they produce dark spots on SAR …
synthetic aperture radar (SAR) oil slick detection, and they produce dark spots on SAR …
Oil spill detection using LBP feature and K-means clustering in shipborne radar image
J Xu, X Pan, B Jia, X Wu, P Liu, B Li - Journal of Marine Science and …, 2021 - mdpi.com
Oil spill accidents have seriously harmed the marine environment. Effective oil spill
monitoring can provide strong scientific and technological support for emergency response …
monitoring can provide strong scientific and technological support for emergency response …
[HTML][HTML] Oil spill monitoring of shipborne radar image features using SVM and local adaptive threshold
J Xu, H Wang, C Cui, B Zhao, B Li - Algorithms, 2020 - mdpi.com
In the case of marine accidents, monitoring marine oil spills can provide an important basis
for identifying liabilities and assessing the damage. Shipborne radar can ensure large-scale …
for identifying liabilities and assessing the damage. Shipborne radar can ensure large-scale …
[HTML][HTML] Segmentation of oil spills on side-looking airborne radar imagery with autoencoders
In this work, we use deep neural autoencoders to segment oil spills from Side-Looking
Airborne Radar (SLAR) imagery. Synthetic Aperture Radar (SAR) has been much exploited …
Airborne Radar (SLAR) imagery. Synthetic Aperture Radar (SAR) has been much exploited …
Optimized fuzzy cellular automata for synthetic aperture radar image edge detection
The development of coastline detection has been the subject of several reports. An
optimized fuzzy cellular automata (FCA) algorithm for SAR image edge detection, which …
optimized fuzzy cellular automata (FCA) algorithm for SAR image edge detection, which …
Oil spill detection in synthetic aperture radar images using Lipschitz-regularity and multiscale techniques
This research adapts an effective change detection approach originally applied to map**
fire scar from a stationary synthetic aperture radar (SAR) scene to the problem of oil spills …
fire scar from a stationary synthetic aperture radar (SAR) scene to the problem of oil spills …