摘要
对于遥感图像分割这一当下的热点研究问题,目标分割的是否准确是衡量算法优良的标准。近年来,机器学习已应用到越来越多的领域,神经网络在遥感图像分割领域也得到了广泛的应用。本文介绍了几种神经网络算法在遥感图像分割问题上的应用,根据几种典型的神经网络在遥感图像分割问题上的研究现状,简单分析了神经网络在此问题上的发展趋势。
For remote sensing research issues of the current image segmentation,target segmentation is accurate measure algorithm is of good standard in recent years.Machine learning applies to more and more fields,and the neural network has been widely used in the field of remote sensing image segmentation.Several neural network algorithms in the application of remote sensing image segmentation problem are introduced.According to several typical neural network on the remote sensing image segmentation problem of current research status,the development trend of the neural network on this issue is simply analyses.
作者
丁婷婷
于晓鹏
李紫薇
DING Tingting;YU Xiaopeng;LI Ziwei(College of Computer Science,Jilin Normal University,Siping 136000,Jilin,China)
出处
《智能计算机与应用》
2020年第8期58-61,66,共5页
Intelligent Computer and Applications
关键词
遥感图像
图像分割
神经网络
remote sensing image
image segmentation
neural network
