基于神经网络的遥感影像分类方法研究 |
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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(2). |
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作者姓名: | 吴芳 |
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作者单位: | 武汉大学遥感信息工程学院 湖北武汉430079 |
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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。
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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 |
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Authors: | WU Fang School of Remote Sensing and Information Engineering Wuhan University Luoyu Road Wuhan China |
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Institution: | WU Fang School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China |
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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. |
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Keywords: | Remotely sensed image classification BP neural network Fuzzy theory |
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