A Semi-Supervised Model for Fine-Grained Identification of Oil Emulsions on the Sea Surface Using Hyperspectral Imaging
Author:
Funder
Asian Cooperation Fund Project
Dalian High-Level Talent Innovation Program
National Key R & D Program
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12524-024-01935-w.pdf
Reference47 articles.
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2. Baszanowska, E., Otremba, Z., & Piskozub, J. (2020). Modelling remote sensing reflectance to detect dispersed oil at sea. Sensors (Basel, Switzerland), 20(3), 863. https://doi.org/10.3390/s20030863
3. Beyer, J., Trannum, H. C., Bakke, T., Hodson, P. V., & Collier, T. K. (2016). Environmental effects of the deepwater horizon oil spill: A review. Marine Pollution Bulletin, 110(1), 28–51. https://doi.org/10.1016/j.marpolbul.2016.06.027
4. Chen, L., Ren, Z., Ma, C., & Chen, G. (2017). Modeling and simulating the bidirectional reflectance distribution function (BRDF) of seawater polluted by oil emulsion. Optik, 140, 878–886. https://doi.org/10.1016/j.ijleo.2017.05.022
5. Chen, Y., Sun, Y., Yu, W., Liu, Y., & Hu, H. (2022). A novel lightweight bilateral segmentation network for detecting oil spills on the sea surface. Marine Pollution Bulletin, 175, 113343. https://doi.org/10.1016/j.marpolbul.2022.113343
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