Multispectral Remote Sensing Image Classification Considering Texture Based On Neural Network

摘要

The main characters of classification techniques of multi-spectral remote sensing images are analyzed in this paper. A neural network is constructed and an classification algorithm considering feature texture is proposed. A new method of combining neural network with feature textual knowledge is given to make the algorithm of multi-spectral image classification more effective and practical.