摘要
提出基于三维 Hopfield人工神经网络模型的遥感信息分类综合算法将遥感图象分类与分类结果平滑过程有机地结合在一起 ,并方便地引入了经验知识指导网络进化 .实验表明该方法可明显提高森林类型划分。
This paper presents a remote sensing information classification method based on 3 D Hopfield neural network.It combines the classification process with the smoothing process ideally,and guides the evolution of network with knowledge.The results of experiments indicate that the presented method can enhance the classification precision remarkably.
出处
《自动化学报》
EI
CSCD
北大核心
2000年第2期233-239,共7页
Acta Automatica Sinica
关键词
遥感信息分类
人工神经网络
经验知识
计算机
Remote sensing information classification, artificial neural network, knowledge based system.