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。
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.
作者
徐栋
杨敏
苗宇宏
严晋
孙苗
XU Dong;YANG Min;MIAO Yu-hong;YAN Jin;SUN Miao(North China Sea Marine Technical Support Center,State Oceanic Administration,Qingdao 266034,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)
出处
《海洋科学》
CAS
北大核心
2020年第12期54-60,共7页
Marine Sciences
基金
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)。
关键词
高光谱遥感
无人机
海岛岸线
图像分类
hyperspectral remote sensing
unmanned aerial vehicle
island shoreline
image classification