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基于神经网络的遥感影像分类方法研究
引用本文:吴芳. 基于神经网络的遥感影像分类方法研究[J]. 测绘科技情报, 2007, 0(2)
作者姓名:吴芳
作者单位:武汉大学遥感信息工程学院 湖北武汉430079
摘    要:本文在研究BP神经网络和模糊理论的基础上,提出了传统BP算法的一种改进方法和基于模糊系统的神经网络遥感影像分类方法。通过试验表明:基于模糊技术的神经网络分类方法要优于BP神经网络方法,取得了令人满意的效果。

关 键 词:遥感影像分类  BP神经网络  模糊理论

The Research on Image Classification of Remote Sensing Based on Neural Networks
WU Fang School of Remote Sensing and Information Engineering,Wuhan University, Luoyu Road,Wuhan ,China. The Research on Image Classification of Remote Sensing Based on Neural Networks[J]. , 2007, 0(2)
Authors:WU Fang School of Remote Sensing  Information Engineering  Wuhan University   Luoyu Road  Wuhan   China
Affiliation:WU Fang School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China
Abstract:A fuzzy neural network image classification is proposed. The back-propagation algorithm is employed to get the trained parameters of fuzzy models. The Landsat-TM image data are used to inspect the effect of proposed classifier. Compared to BP neural network classifier,the proposed model use less learning time and get more accuracy.
Keywords:Remotely sensed image classification  BP neural network  Fuzzy theory
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