SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE USING B P NEURAL NETWORK
SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE USING B P NEURAL NETWORK
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发表时间：
1998
影响因子：
0.7
通讯作者：
L. Zuo
中科院分区：
文献类型：
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作者：
L. Zuo
提出了一种基于BP神经网络的多光谱遥感图像监督分类方法。该方法描述了对 4 种作物的 4 幅光谱遥感图像进行监督分类的示例。结果表明，即使特征提取量比传统分类少，多光谱遥感影像的分类也符合实际情况。
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.