徐栋^1,2, 杨敏^1,2, 苗宇宏³, 严晋¹, 孙苗^4,2
1.国家海洋局北海海洋技术保障中心, 山东 青岛 266034;2.国家海洋局数字海洋科学技术重点实验室, 天津 300171;3.中国科学院西安光学精密机械研究所, 陕西 西安 710119;4.国家海洋信息中心, 天津 300171

摘要:
鉴于传统遥感技术手段对海岛岸线的提取在精度与效率上存在很大不足，通过无人机高光谱遥感技术，结合岸线实地踏勘活动，提出一种海岛岸线类型识别与位置提取方法，并选取实际海岛进行了实验验证，成功获取了不同类型岸线的准确位置，所得成果与传统遥感手段相比，提高了系统性与准确性，为下一步海岛的生态评估工作提供了数据支撑。
关键词:高光谱遥感无人机海岛岸线图像分类
DOI：10.11759/hykx20200529002
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 accurate extraction method of island shoreline based on hyperspectral remote sensing of unmanned aerial vehicle
XU Dong^1,2, YANG Min^1,2, MIAO Yu-hong³, YAN Jin¹, SUN Miao^4,2
1.North China Sea Marine Technical Support Center, State Oceanic Administration, Qingdao 266034, China;2.Key Laboratory of Digital Ocean, State Oceanic Administration, Tianjin 300171, China;3.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China;4.National Marine Data and Information Service, Tianjin 300171, China
Abstract:
In view of the shortcomings of the traditional remote sensing technology in the accuracy and efficiency of the island coastline extraction, this paper proposes a method of island coastline type recognition and location extraction through the hyperspectral remote sensing technology of unmanned aerial vehicle, combined with the coastline field survey activities, and selects the actual island for test verification. Finally, the exact locations of different types of shorelines are obtained. Compared with the traditional remote sensing methods, the results of this paper is more systematic and accurate, and provides data support for the next step of island ecological assessment.
Key words:hyperspectral remote sensingunmanned aerial vehicleisland shorelineimage classification





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