Detection of oil spills on SAR images, identification of polluters and forecast of the slicks trajectory

R. Uiboupin, U. Raudsepp, L. Sipelgas
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引用次数: 16

Abstract

SAR images from the Estonian coastal area were analyzed to identify oil spills. Slicks were detected on five images in February and March 2008. The analysis showed that the slicks occurred on the ship track. Seatrack Web model (SMHI) that includes ship automatic identification (AIS) data provides a possibility to identify the polluters. In two cases the hindcast model together with AIS information system enabled to detect the possible polluters.
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利用SAR图像检测溢油、识别污染者及预测溢油轨迹
对爱沙尼亚沿海地区的SAR图像进行了分析,以确定石油泄漏。在2008年2月和3月的5张图像上发现了浮油。分析表明,浮油发生在航迹上。包含船舶自动识别(AIS)数据的舱架网络模型(SMHI)提供了识别污染者的可能性。在两个案例中,后投模型与AIS信息系统一起能够探测到可能的污染者。
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