Application of BP neural network in remote sensing image classification

BP (back propagation) neural network can be optimized through methods of sample selection GIS data aided and improving learning algorithm and so on. Experimental result shows that optimized BP neural network is an effective classification method with better self-learning, generalization, adaptive capacity and high classification accuracy.