| 用B—P神经网络实现多波段遥感图像的监督分类 |
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| 引用本文： | 李祚泳.用B—P神经网络实现多波段遥感图像的监督分类[J].红外与毫米波学报,1998,17(2):153-156. |
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| 作者姓名： | 李祚泳 |
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| 作者单位： | 成都气象学院大气电子工程系,四川,成都,610041 |
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| 摘 要： | 提出敢用Ｂ－Ｐ神经网络实现多波段遥感图像监督分类的方法，给出了用Ｂ－Ｐ神经网络对４种农作物的４波段遥感图监督分类实例。结果表明；与传统的分类法相比，在特征提取相对较少情况下，仍可获得符合实况的多波面遥感图像分类。
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| 关 键 词： | 多波段 遥感图像 图像监督分类 神经网络 |
| 修稿时间： | 1997年2月18日 |
SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE USING B P NEURAL NETWORK |
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| LI Zuo,Yong.SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE USING B P NEURAL NETWORK[J].Journal of Infrared and Millimeter Waves,1998,17(2):153-156. |
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| Authors: | LI Zuo Yong |
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| Abstract: | A method of supervised classification of multispectral remote sensing image was suggested using B P neural network. An example of supervised classification of 4 spectral remote sensing images for 4 crops was described by this method. The results show that even if the feature extractions are fewer than the traditional classification, the classification of multispectral remote sensing image tallys with the cases. |
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| Keywords: | multispectral remote sensing image supervised classification of image neural network B P algorithm |
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