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基于深度神经网络的遥感图像分类算法综述
引用本文:崔璐,张鹏,车进.基于深度神经网络的遥感图像分类算法综述[J].计算机科学,2018,45(Z6):50-53.
作者姓名:崔璐  张鹏  车进
作者单位:宁夏大学物理与电子电气工程学院 银川750000,宁夏大学信息工程学院 银川750000,宁夏大学物理与电子电气工程学院 银川750000
基金项目:本文受自然科学基金(61363054)资助
摘    要:准确、高效的遥感图像分类是遥感图像解析的重要研究内容之一。近年来,随着机器学习技术的发展,深度神经网络日渐成为一种有效的遥感图像分类处理方法。分析了遥感图像分类目前存在的一些问题,并简要阐述了几种典型的深度神经网络的原理结构;然后根据遥感图像分类的研究现状和深度神经网络对遥感图像分类的研究现状,总结了深度神经网络在遥感图像分类技术应用中的发展趋势。

关 键 词:遥感图像  图像分类  深度神经网络

Overview of Deep Neural Network Based Classification Algorithms for Remote Sensing Images
CUI Lu,ZHANG Peng and CHE Jin.Overview of Deep Neural Network Based Classification Algorithms for Remote Sensing Images[J].Computer Science,2018,45(Z6):50-53.
Authors:CUI Lu  ZHANG Peng and CHE Jin
Affiliation:School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750000,China,School of Information Engineering,Ningxia University,Yinchuan 750000,China and School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750000,China
Abstract:Accurate and efficient remote sensing image classification is one of the important research contents of remote sensing image analysis.In recent years,with the development of machine learning technology,deep neural network has become an effective processing method for remote sensing image classification.This paper analyzed some problems exi-sting in remote sensing image classification and the principle structure of several typical deep neural networks.The research status of remote sensing image classification and remote sensing image classification based on deep neural network were introduced,and the trend of deep neural network in remote sensing image classification technology was summarized.
Keywords:Remote sensing image  Image classification  Deep neural network
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