徐栋^1,2, 杨敏^1,2, 孟云闪^3,2, 孙苗^3,2
1.国家海洋局北海海洋技术保障中心, 山东 青岛 266033;2.国家海洋局数字海洋科学技术重点实验室, 天津 300171;3.国家海洋信息中心, 天津 300171

摘要:
为了对典型海岸带的侵蚀风险程度进行量化统计与评估，采用卫星遥感技术对目标岸段开展动态监测，以多核学习技术进行图像分类及岸线提取，基于水边线逐年位置变化提出一种海岸侵蚀风险评估方法，并以大蒲河-滦河岸段为例进行了应用，得出了该岸段所处的侵蚀风险级别，为下一步海岸带的保护与修复提供了数据支撑。
关键词:海岸带大蒲河-滦河口多核学习图像分类海岸侵蚀风险评估
DOI：10.11759/hykx20190605003
分类号:P76
基金项目:国家海洋局数字海洋科学技术重点实验室2018年开放基金（20181120B1413）

Research and application of a waterline extraction and coastal erosion risk assessment method based on multi-kernel learning for remote sensing interpretation—Taking the Dapu River-the Luan River estuary as an example
XU Dong^1,2, YANG Min^1,2, MENG Yun-shan^3,2, SUN Miao^3,2
1.North China Sea Marine Technical Support Center, State Oceanic Administration, Qingdao 266033, China;2.Key Laboratory of Digital Ocean, State Oceanic Administration, Tianjin 300171, China;3.National Marine Data and Information Service, Tianjin 300171, China
Abstract:
To quantify and evaluate the erosion risk of typical coastal zones, we use satellite remote sensing images to monitor the change in the target bank and multi-kernel learning technology to classify and recognize the coastal line. A coastal erosion risk assessment method is proposed according to the position change of the waterline, applied in the area of the Dapu River-the Luan River estuary to obtain the erosion risk level of this section.
Key words:coastal zonethe Dapu River-the Luan River estuarymulti-kernel learningimage classificationcoastal erosion risk assessment





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