首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于无人机高光谱遥感的海岛岸线精准提取方法研究与应用
引用本文:徐栋,杨敏,苗宇宏,严晋,孙苗.基于无人机高光谱遥感的海岛岸线精准提取方法研究与应用[J].海洋科学,2020,44(12):54-60.
作者姓名:徐栋  杨敏  苗宇宏  严晋  孙苗
作者单位:国家海洋局北海海洋技术保障中心,山东青岛266034;国家海洋局数字海洋科学技术重点实验室,天津300171;中国科学院西安光学精密机械研究所,陕西西安710119;国家海洋局北海海洋技术保障中心,山东青岛266034;国家海洋信息中心,天津300171;国家海洋局数字海洋科学技术重点实验室,天津300171
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)
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
收稿时间:2020/5/29 0:00:00
修稿时间:2020/6/29 0:00:00

Research and application of accurate extraction method of island shoreline based on hyperspectral remote sensing of unmanned aerial vehicle
XU Dong,YANG Min,MIAO Yu-hong,YAN Jin,SUN Miao.Research and application of accurate extraction method of island shoreline based on hyperspectral remote sensing of unmanned aerial vehicle[J].Marine Sciences,2020,44(12):54-60.
Authors:XU Dong  YANG Min  MIAO Yu-hong  YAN Jin  SUN Miao
Institution:North China Sea Marine Technical Support Center, State Oceanic Administration, Qingdao 266034, China;Key Laboratory of Digital Ocean, State Oceanic Administration, Tianjin 300171, China;Xi''an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi''an 710119, China; National Marine Data and Information Service, Tianjin 300171, China;Key Laboratory of Digital Ocean, State Oceanic Administration, 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.
Keywords:hyperspectral remote sensing  unmanned aerial vehicle  island shoreline  image classification
本文献已被 万方数据 等数据库收录!
点击此处可从《海洋科学》浏览原始摘要信息
点击此处可从《海洋科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号