Oil spill mapping is a very challenging problem in marine environmental monitoring. In this article, the potential of hyperspectral image (HSI) classification for mapping oil spills is comprehensively investigated. First, several representative HSI classification methods are reviewed in a general framework. Second, three oil spill mapping cases are designed to analyze the performance of different classification methods in detecting spatial distribution, classifying the type, and estimating the thickness of oil spills. Finally, the experimental results are analyzed in detail, and some conclusions are given, which brings a comprehensive understanding to scholars who are interested in the fields of hyperspectral remote sensing and oil spill mapping.

中文翻译：

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高光谱图像分类在溢油测绘中的潜力


溢油测绘是海洋环境监测中一个非常具有挑战性的问题。在本文中，全面研究了高光谱图像（HSI）分类在绘制石油泄漏地图方面的潜力。首先，在总体框架内回顾了几种具有代表性的HSI分类方法。其次，设计了三个溢油测绘案例，分析不同分类方法在检测溢油空间分布、分类类型和估算溢油厚度方面的性能。最后对实验结果进行了详细分析，并给出了一些结论，为对高光谱遥感和溢油测绘领域感兴趣的学者带来了全面的了解。