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首页> 外文会议>Image and signal processing for remote sensing XVII >Endmember detection in marine environment with oil spill event
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Endmember detection in marine environment with oil spill event

机译：发生漏油事件时在海洋环境中进行端构件检测

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Oil spill events are a crucial environmental issue. Detection of oil spills is important for both oil exploration and environmental protection. In this paper, investigation of hyperspectral remote sensing is performed for the detection of oil spills and the discrimination of different oil types. Spectral signatures of different oil types are very useful, since they may serve as endmembers in unmixing and classification models. Towards this direction, an oil spectral library, resulting from spectral measurements of artificial oil spills as well as of look-alikes in marine environment was compiled. Samples of four different oil types were used; two crude oils, one marine residual fuel oil, and one light petroleum product. Look-alikes comprise sea water, river discharges, shallow water and water with algae. Spectral measurements were acquired with spectro-radiometer GER1500. Moreover, oil and look-alikes spectral signatures have been examined whether they can be served as endmembers. This was accomplished by testifying their linear independence. After that, synthetic hyperspectral images based on the relevant oil spectral library were created. Several simplex-based endmember algorithms such as sequential maximum angle convex cone (SMACC), vertex component analysis (VCA), n-finder algorithm (N-FINDR), and automatic target generation process (ATGP) were applied on the synthetic images in order to evaluate their effectiveness for detecting oil spill events occurred from different oil types. Results showed that different types of oil spills with various thicknesses can be extracted as endmembers.
机译：漏油事件是一个至关重要的环境问题。漏油的检测对于石油勘探和环境保护都至关重要。在本文中，对高光谱遥感进行了研究，以发现溢油并区分不同类型的油。不同类型的油的光谱特征非常有用，因为它们可以充当分解和分类模型的最终成员。朝着这个方向，建立了一个石油光谱​​库，该油库是由人工溢油以及海洋环境中的相似物的光谱测量得出的。使用了四种不同类型的油的样品。两种原油，一种船用残余燃料油和一种轻质石油产品。相似物包括海水，河水，浅水和藻类水。用分光辐射计GER1500进行光谱测量。此外，已经检查了油和相似的光谱特征是否可以用作末端成员。这是通过证明其线性独立性来实现的。之后，基于相关油谱库创建了合成高光谱图像。依次对合成图像应用了几种基于单纯形的端成员算法，例如顺序最大角度凸锥（SMACC），顶点分量分析（VCA），n-finder算法（N-FINDR）和自动目标生成过程（ATGP）。评估其检测不同类型油泄漏事件的有效性。结果表明，可以提取不同厚度，不同厚度的溢油作为最终成员。

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