首页 | 期刊介绍 | 编委会 | 道德声明 | 投稿指南 | 常用下载 | 过刊浏览 | In English
引用本文:
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  下载PDF阅读器  关闭
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 61次   下载 0  
分享到: 微信 更多
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
徐 栋1, 杨 敏1, 苗宇宏2, 严 晋1, 孙 苗3
1.国家海洋局北海海洋技术保障中心;2.中科院西安光学精密机械研究所;3.国家海洋信息中心
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,本文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 UAV
xu dong1, yang min1, miao yuhong2, yan jin1, sun miao3
1.North China Sea Marine Technical Support Center,State Oceanic Administration;2.Xi''an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences;3.National Marine Data and Information Service
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 UAV, 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 sensing  unmanned aerial vehicle  island shoreline  image classification
版权所有 《海洋科学》编辑部 Copyright©2008 All Rights Reserved
主管单位:中国科学院 主办单位:中国科学院海洋研究所
地址:青岛市南海路七号  邮编:266071  电话:0532-82898755  E-mail:marinesciences@qdio.ac.cn
技术支持:北京勤云科技发展有限公司