Mapping oil spills on sea water using spectral mixture analysis of hyperspectral image data
Mapping oil spills on sea water using spectral mixture analysis of hyperspectral image data
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DOI：
10.1117/12.631149
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发表时间：
2005-11
期刊：
影响因子：
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通讯作者：
J. Plaza;R. Pérez;A. Plaza;P. Martínez;D. Valencia
中科院分区：
文献类型：
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作者：
J. Plaza;R. Pérez;A. Plaza;P. Martínez;D. Valencia
在过去的几年里，一些陆地生态系统遭受了大规模漏油事件的影响，威胁着沿海栖息地和物种。最近的一些例子包括 2002 年西班牙北部加利西亚的 Prestige 油轮漏油事件，以及加利福尼亚州圣巴巴拉海岸线和马里兰州帕图森特河（切萨皮克流域）反复发生的漏油事件。星载和机载高光谱传感器都可以详细识别材料，并非常准确（亚像素）估计其丰度覆盖范围。一旦发生石油泄漏，遥感高光谱仪器产生的信息可用于设计有效的环境石油泄漏保护和响应计划，这有助于减少泄漏和清理工作对环境的影响，并保护人类生命。在本文中，我们讨论了一种新颖的自动高光谱目标检测技术，用于确定海岸线污染区域的石油污染水平。该方法基于通过扩展数学形态学运算同时使用空间和光谱信息。这项工作使用了在污染地区收集的模拟和真实高光谱数据来说明所提出方法的有效性。
During the last years, several terrestrial ecosystems have suffered from large spill oil events threatening coastal habitats and species. Some recent examples include the 2002 Prestige tanker oil spill in Galicia, Northern Spain, as well as repeated oil spill leaks evidenced in the Santa Barbara coastline in California, and the Patuxent river (Chesapeake watershed) in Maryland. Both spaceborne and airborne hyperspectral sensors allow detailed identification of materials, and very accurate (sub-pixel) estimates of their fractional abundance covers. In the event of an oil spill, the information produced by remotely sensed hyperspectral instruments can be used to design an effective environmental oil spill protection and response plan, which could help to reduce the environmental consequences of the spill and cleanup efforts, as well as to protect human life. In this paper, we discuss a novel automated hyperspectral target detection technique for determining the level of oil contamination of polluted areas in the shoreline. The method is based on the simultaneous use of spatial and spectral information by extended mathematical morphology operations. Both simulated and real hyperspectral data, collected over polluted areas, are used in this work to illustrate the effectiveness of the proposed approach.