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利用一种模糊神经网络对遥感影像进行分类的研究
引用本文:张强,周秋生.利用一种模糊神经网络对遥感影像进行分类的研究[J].测绘工程,2006,15(5):42-46.
作者姓名:张强  周秋生
作者单位:昆明理工大学,国土资源工程学院,云南,昆明,650093;黑龙江工程学院,测绘工程系,黑龙江,哈尔滨,150050
基金项目:黑龙江省自然科学基金资助项目(G0301)
摘    要:结合遥感影像的特点,提出一种模糊逻辑系统和神经网络中的BP算法相结合的模糊神经网络,利用其进行整个遥感图像的分类,并和典型的BP神经网络进行对比,发现其优点以及存在的问题。

关 键 词:遥感影像  图像分类  模糊  神经网络
文章编号:1006-7949(2006)05-0042-05
收稿时间:2006-08-20
修稿时间:2006年8月20日

Remote sensing image classification and study using a kind of fuzzy neural networks
ZHANG Qiang,ZHOU Qiu-sheng.Remote sensing image classification and study using a kind of fuzzy neural networks[J].Engineering of Surveying and Mapping,2006,15(5):42-46.
Authors:ZHANG Qiang  ZHOU Qiu-sheng
Institution:1. Faculty of Land and Resource Engineering, Kunming University of Science and Technology, kunming 650093, China; 2, Dep, of surveying and Engineering, Heilongjiang Institute Of Technology, Haerbin 150050, China
Abstract:In this paper,we mainly propose a kind of Fuzzy Neural Network which is Back-Propagation learning method of Back-Propagation Network and Fuzzy Logic system combination model based on analyzing the characteristics of remote sensing data.Then we can see the advantage and some problems by classifying the whole remote sensing image using it and comparing its result with that of the classical BP.Network.
Keywords:remote sensing image  image classification  fuzzy  neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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