摘要
无人机影像目标检测技术是无人机影像智能化分析中的关键技术,开展无人机影像目标检测技术的研究有着广阔的应用前景和价值。介绍了无人机影像中目标检测技术的发展历程,简述了无人机影像目标检测技术在森林防火、农业信息采集、电力线路检测、路桥损害检测以及军事侦察等5种特定领域的应用情况,总结归纳了目标检测性能评价时常用的数据集和标准,并对未来无人机影像目标检测技术的发展态势进行了展望。
Object detection in unmanned aerial vehicle(UAV)imagery plays a key role in intelligent analysis of UAV imagery,which has a wide application prospect and value.The history of object detection in UAV imagery is introduced.A survey of several specific tasks,including forest fire prevention,agricultural information collection,power line inspection,bridge and road damage detection and military reconnaissance,are briefly described.The representative and publicly available datasets and evaluation indicators of UAV images are given and the future research trend is discussed.
作者
寇墨林
卓力
张菁
张辉
KOU Mo-lin;ZHUO Li;ZHANG Jing;ZHANG Hui(Signal and Information Processing Iaboratory,Beijing University of Technology,Beijing 100124,China)
出处
《测控技术》
2020年第8期47-61,共15页
Measurement & Control Technology
基金
北京市自然科学基金-市教委联合资助项目(KZ201810005002)
国家自然科学基金(61602018)。
关键词
深度学习
目标检测
无人机影像
卷积神经网络
deep learning
object detection
UAV imagery
convolutional neural network
