南京信息工程大学学报2025，Vol.17Issue(3)：414-422,9.DOI:10.13878/j.cnki.jnuist.20240521001
基于大面阵无人机多光谱遥感的水生植被精细分类研究
Classification of aquatic vegetation species using large-format multispectral UAV remote sensing
摘要
Abstract
Aquatic vegetation is an important indicator of river health,and dynamic monitoring of riverine aquatic vegetation is crucial for understanding its status.However,both traditional field surveys and satellite remote sensing exhibit obvious limitations in monitoring such vegetation.In this study,a UAV(Unmanned Aerial Vehicle)-mounted high-pixel Aerospace Shuwei KP-6 multispectral camera is employed to acquire multispectral images of Baigou River in Gu'an county,Hebei province.Three supervised classification methods are utilized to classify aquatic vegetation species such as reeds,Nymphoides Peltata,and Ceratophyllum demersum L.in Baigou River,of which the maximum likelihood method achieves the highest accuracy with an overall accuracy of 92.8%and a Kappa coefficient of 0.91.In addition,the high-pixel Aerospace Shuwei KP-6 camera is compared with a variety of high-resolution satellites and other UAV-mounted multispectral cameras,revealing its advantages of high spatial resolution,wide coverage,and flexible data acquisition in riverine aquatic vegetation monitoring.This study provides a useful reference for the application of UAV-mounted multispectral remote sensing in riverine aquatic vegetation monitoring.关键词
无人机/多光谱/白沟河/水生植被/监督分类Key words
unmanned aerial vehicle(UAV)/multispectral/Baigou River/aquatic vegetation/supervised classifica-tion分类
环境科学引用本文复制引用
高敏,谢娅,李潇屹,董韬,陈玥,张方方,王胜蕾,申维,李俊生..基于大面阵无人机多光谱遥感的水生植被精细分类研究[J].南京信息工程大学学报,2025,17(3):414-422,9.基金项目
国家自然科学基金(42271363) （42271363）
