智能技术在无人机遥感图像解译与地物分类中的应用  

Application of Intelligent Technology in UAV Remote Sensing Image Interpretation and Land Cover Classification

作　　者：左萍萍 赫宗尧 李帅 任方翠 ZUO Pingping;HE Zongyao;LI Shuai;REN Fangcui(Xinyang Aviation Vocational College,Henan 464100,China;Xinyang Aviation Service School,Henan 464100,China)

机构地区：[1]信阳航空职业学院,河南464100 [2]信阳航空服务学校,河南464100

出　　处：《集成电路应用》2024年第11期148-149,共2页Application of IC

摘　　要：阐述一种适用于无人机遥感图像解译的卷积神经网络模型。对无人机遥感图像进行预处理,包括图像增强、裁剪和标注等步骤。模型在无人机遥感图像解译与地物分类任务上有较高的准确率。This paper expounds a convolutional neural network model suitable for remote sensing image interpretation of unmanned aerial vehicles.It preprocesses UAV remote sensing images,including steps such as image enhancement,cropping,and annotation.The model has a high accuracy in UAV remote sensing image interpretation and land classification tasks.

关 键 词：人工智能技术 无人机遥感图像 地物分类 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程]