| 深度学习算法在遥感影像分类识别中的应用现状及其发展趋势 |
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| 引用本文： | 杨瑾文,赖文奎.深度学习算法在遥感影像分类识别中的应用现状及其发展趋势[J].测绘与空间地理信息,2020(4):114-117,120. |
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| 作者姓名： | 杨瑾文 赖文奎 |
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| 作者单位： | 海南省农垦设计院 |
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| 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。
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| 关 键 词： | 深度学习 机器学习 遥感影像 算法 识别与分类 |
The Application Status and Development Trend of Deep Learning Algorithm in Remote Sensing Image Classification and Recognition |
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| YANG Jinwen,LAI Wenkui.The Application Status and Development Trend of Deep Learning Algorithm in Remote Sensing Image Classification and Recognition[J].Geomatics & Spatial Information Technology,2020(4):114-117,120. |
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| Authors: | YANG Jinwen LAI Wenkui |
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| Institution: | (Hainan State Farms Design Institute,Haikou 570216,China) |
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| Abstract: | 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. |
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| Keywords: | deep learning machine learning remote sensing image algorithms recognition and classification |
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