Remote sensing image classification algorithm based on Hopfield neural network

被引：0
|
作者：
Dong, Guang-jun [1 ]
Zhang, Yong-sheng [1 ]
Zhu, Chao-jie [1 ]
机构：
[1] Zhengzhou Univ, Inst Surveying & Mapping, Zhengzhou 450052, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS | 2006年 / 3972卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Considering the feature of remote sensing images, we put forward a remote sensing image classification algorithm based on Hopfield neural network. First, the function and principle of Hopfield neural network is described in this paper. Then based on the common model of Hopfield neural network, the image classification algorithm using Hopfield neural network is realized and experimental results show that its precision is superior to that of the conventional maximum likelihood classification
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页码：337 / 342
页数：6
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