基于BP人工神经网络的遥感影像分类 |
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引用本文: | 徐磊,林剑,李艳华,燕梅.基于BP人工神经网络的遥感影像分类[J].地理空间信息,2012,10(4):83-85,88. |
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作者姓名: | 徐磊 林剑 李艳华 燕梅 |
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作者单位: | 1. 湖南科技大学知识处理与网络化制造重点实验室,湖南湘潭411201 湖南科技大学建筑与城乡规划学院地信系,湖南湘潭411201 2. 湖南科技大学知识处理与网络化制造重点实验室,湖南湘潭,411201 |
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基金项目: | 湖南省科技计划一般项目(2010FJ3166); 湖南省发改委资助项目(湘财企指[2008]149号) |
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摘 要: | 重点讨论了遥感图像分类处理过程中应用效果显著的BP神经网络方法,并在Matlab软件平台下对基于BP神经网络的分类算法进行了研究,最后将它的分类结果与ERDAS软件平台下的监督分类结果进行分类精度评定比较分析。结果表明,基于BP神经网络的遥感图像分类总精度比ERDAS软件平台下的监督分类的总精度高,是一种有效的遥感影像分类方法。
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关 键 词: | BP人工神经网络 遥感影像 Matlab |
Classifying Remote Sensing Image Based on BP Neural Network Technology |
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Abstract: | This paper focused on BP neural networks which was notable in the classification of remote sensing image processing application, and researched BP neural network classification algorithm in Matlab software platform. Finally, the classification was compared with supervised classification results under ERDAS software platform. The results show that BP neural network-based remote sensing image classification is more precise than the supervision of the general classification which under the total ERDAS software platform. It is an effective method of remote sensing image classification. |
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Keywords: | BPNN remote sensing image Matlab |
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