摘要
溢油事故对海洋环境造成的危害越来越严重,多种遥感技术被应用于海洋环境的监测,卫星遥感技术,特别是合成孔径雷达(SAR)遥感技术已成为海面溢油监测的重要手段;但由于海面溢油成像特征的复杂性,单一的遥感识别仍然存在较大难度。本研究提出结合船舶自动识别系统(AIS)等辅助信息,对海面溢油进行判别,再利用边缘检测算法自动提取溢油信息的方法,并以Radarsat-2数据为例进行案例分析。结果表明,该方法能够有效提高溢油识别和检测的准确性。
In recent years,the frequent occurrence of marine oil spill accidents give a serious threat to marine environment and transportation safety.Satellite remote sensing,especially Synthetic Aperture Radar(SAR)is considered as a powerful tool to be used for marine oil spill monitoring.Because of the complexity of the imaging features,it is difficult to detect oil spills based on SAR images itself.In this paper,we focuse on identification technology of oil spills by using spaceborne SAR images and AIS.Then,discusses method of extracting the scope and area of pollution automatically by using edge detection algorithm.A case study of Radarsat-2was discussed finally.The results show that this method was proved to be effective on SAR images in improving accuracy of oil spill detection.
出处
《广西科学院学报》
2016年第2期79-82,共4页
Journal of Guangxi Academy of Sciences
基金
交通运输部海事局2015年科技项目(2015-13)资助