SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE USING B P NEURAL NETWORK
用B—P神经网络实现多波段遥感图像的监督分类

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.