计算机科学与探索2025，Vol.19Issue(5)：1157-1176,20.DOI:10.3778/j.issn.1673-9418.2405012
草类植物无人机遥感图像中深度学习应用综述
Review of Deep Learning Applications in Unmanned Aerial Vehicle Remote Sensing Images of Grass Plants
摘要
Abstract
The invasion of grass species competes for resources necessary for the growth of crops,significantly affecting crop yield and quality.Grasses such as the Artemisia genus release allergenic pollen,causing allergic reactions and impacting human health.The integration of deep learning and unmanned aerial vehicle(UAV)remote sensing technologies for the efficient identification and detection of grass species is of considerable practical significance in the prevention of plant inva-sion,allergen monitoring,and agricultural production management.Currently,remote sensing images face challenges such as low resolution,complex background information,and indistinct detail information.The combination of deep learning with UAV remote sensing RGB images and multispectral images addresses various application challenges,including high grass density,numerous species,wide coverage,and identification difficulties.This paper provides a comprehensive and in-depth review of the research progress on the application of deep learning technology in UAV remote sensing images of grass species.Initially,this paper elaborates on various UAV remote sensing image technologies widely used in grass species research,with a particular emphasis on the application of visible light RGB and multispectral remote sensing technologies.Subsequently,it provides a detailed summary of UAV-acquired grass species datasets,and focuses on the main network architectures and methods where deep learning is applied to grass species remote sensing images.Finally,it summarizes the current major issues when using deep learning in UAV remote sensing images of grass plants,and anticipates future development trends.关键词
深度学习/无人机(UAV)/遥感图像/草类植物Key words
deep learning/unmanned aerial vehicle(UAV)/remote sensing images/grass plants分类
计算机与自动化引用本文复制引用
李少波,王晓强,郭利彪,红英,王志国..草类植物无人机遥感图像中深度学习应用综述[J].计算机科学与探索,2025,19(5):1157-1176,20.基金项目
内蒙古自然科学基金(2023MS06021) （2023MS06021）
2023年内蒙古自治区直属高校基本科研业务费项目(JY20230065) （JY20230065）
国家自然科学基金(62165011) （62165011）
内蒙古自治区科技计划项目(2020GG0104). This work was supported by the Natural Science Foundation of Inner Mongolia(2023MS06021),the Basic Research Business Funds for Directly Affiliated Universities of Inner Mongolia Autonomous Region in 2023(JY20230065),the National Natural Science Foun-dation of China(62165011),and the Science and Technology Project of Inner Mongolia Autonomous Region(2020GG0104). （2020GG0104）
