Geometric Pattern Recognition using Machine Learning: Predictive Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico
Author:
Publisher
Instituto Brasileiro de Petroleo e Gas
Subject
Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Reference13 articles.
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3. Brekke, C., & Solberg, A. H. S. (2005). Oil spill detection by satellite remote sensing. Remote Sensing of Environment, 95(1), 1–13. https://doi.org/10.1016/j.rse.2004.11.015
4. Daume III, H., & Marcu, D. (2006). Domain Adaptation for Statistical Classifiers. Journal of Artificial Intelligence Research, 26(NA), 101–126. https://doi.org/10.1613/jair.1872
5. Fingas, M., & Brown, C. E. (2017). A Review of Oil Spill Remote Sensing. Sensors, 18(1), 91. https://doi.org/10.3390/s18010091
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1. Development and Application of Predictive Models to Distinguish Seepage Slicks from Oil Spills on Sea Surfaces Employing SAR Sensors and Artificial Intelligence: Geometric Patterns Recognition under a Transfer Learning Approach;Remote Sensing;2023-03-08
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