Detection and classification of oil spill and look-alike spots from SAR imagery using an Artificial Neural Network
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6334512/6350328/06352042.pdf?arnumber=6352042
Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A self-evolving deep learning algorithm for automatic oil spill detection in Sentinel-1 SAR images;Remote Sensing of Environment;2023-12
2. An improved lightweight model for oil spill detection using dual-polarization SAR image;International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023);2023-11-15
3. An improved semantic segmentation model based on SVM for marine oil spill detection using SAR image;Marine Pollution Bulletin;2023-07
4. Detection of marine oil-like features in Sentinel-1 SAR images by supplementary use of deep learning and empirical methods: Performance assessment for the Great Barrier Reef marine park;Marine Pollution Bulletin;2023-03
5. An Analysis of the Optimal Features for Sentinel-1 Oil Spill Datasets Based on an Improved J–M/K-Means Algorithm;Remote Sensing;2022-08-31
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