引用本文:
【打印本页】   【下载PDF全文】   【View/Add Comment】  【Download reader】  【 Close 】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被：浏览 2090次   下载 1466次 本文二维码信息
码上扫一扫！
分享到： 微信 更多
字体:加大+|默认|缩小-
基于无人机的海滨景区绿潮监测
徐福祥1,2,3, 高志强1, 尚伟涛1, 宁吉才1, 姜晓鹏1, 宋德彬1,2
1.中国科学院烟台海岸带研究所 烟台 264003;2.中国科学院大学 北京 100049;3.山东工商学院公共管理学院 烟台 264005
摘要:
基于无人机航拍数据，利用四种颜色指数，结合无人机RGB影像对海阳市海滨景区绿潮进行特征统计和监测识别，验证不同空间位置绿潮的适宜监测指数。结果表明：海滨景区G波段高于其他波段的特征使其可以利用颜色指数进行监测；对于不同位置的绿潮灾害，NGBDI指数较适用于海滨景区漂浮绿潮的监测，而GLI指数则更适用于海滨景区海滩绿潮的监测。
关键词:  绿潮  海滨景区  无人机  颜色指数
DOI：10.11693/hyhz20171200325
分类号:X87
基金项目:国家自然科学基金项目，41876107号；山东省联合基金项目，U1706219号；科技部基础支撑项目，2014FY210600号；青岛海洋科学与技术国家实验室鳌山科技创新计划项目，2016ASKJ02号。
DRONE-BASED MONITORING ON green tide ALONG coastal TOURISM AREA
XU Fu-xiang1,2,3, GAO Zhi-qiang1, SHANG Wei-tao1, NING Ji-cai1, JIANG Xiao-peng1, SONG De-bin1,2
1.Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;2.University of Chinese Academy of Sciences, Beijing 100049, China;3.School of Public Administration, Shandong Technology and Business University, Yantai 264005, China
Abstract:
RGB images were taken by a drone-borne camera and analyzed using four-color indices to monitor and identify green tide in the coastal scenic area in Haiyang, Shandong. Monitoring indices in different locations were specified. The results show that the characteristic values of G-band are greater than the other bands' and the color indices could be used for green tide monitoring. For different places of the green tide outbreak, NGBDI (normalized green-blue difference) index is applicable for monitoring floating green tide at sea, and GLI (green leaf index) index for green tide monitoring on beach.
Key words:  green tide monitoring  coastal scenic area  drone  color index
Copyright ©  Editorial Office for Oceanologia et Limnologia Sinica    Copyright©2008 All Rights Reserved
Supervised by: China Association for Science and Technology   Sponsored by: Chinese Society for Oceanology and Limnology, Institute of Oceanology and Limnology, CAS.
Address: 7 Nanhai Road, Qingdao, China.    Postcode: 266071    Tel: 0532-82898753  E-mail: liuxiujuan@qdio.ac.cn  
Technical support: Beijing E-Tiller Co.,Ltd.