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作 者:杨瑾文 赖文奎 YANG Jinwen;LAI Wenkui(Hainan State Farms Design Institute,Haikou 570216,China)
出 处:《测绘与空间地理信息》2020年第4期114-117,120,共5页Geomatics & Spatial Information Technology
摘 要:深度学习是神经网络的一个深层领域,也是神经网络模型在AI学术研究领域的探索和应用。深度学习算法在遥感影像分类与识别处理方面的应用研究受到各界的关注与探讨。本文首先概述了深度学习及其算法结构,其次说明了遥感影像分类与识别处理算法及其局限性,最后阐述了深度学习算法与遥感影像分类与识别处理的结合现状,并对其应用趋势做出展望。Deep learning is a deep field of neural network and the exploration and application of neural network model in AI academic research field.The application research of deep learning algorithm in remote sensing image classification and recognition processing has attracted much attention and discussion of all walks of life.Firstly,this paper outlines deep learning and its algorithm structure.Secondly,the classification and recognition algorithms of remote sensing images and their limitations are summarized.Finally,the current situation of the combination of deep learning algorithm and remote sensing image classification and recognition processing is elaborated and its application trend is prospected.
分 类 号:P237[天文地球—摄影测量与遥感]
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