SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE USING B P NEURAL NETWORK

Li Zuo

JOURNAL OF INFRARED AND MILLIMETER WAVES · 1998 · 21 citations · 0 references

Concepts

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.