Remote Sensing Image Recognition Algorithm Based on Neural Network

With the development of the remote sensing technology,more and more remote sensing image data which are different in the time and space frequency will be applied to various fields of engineering.The pattern recognition of remote sensing imagery is becoming a very important research direction in the remote sensing image processing areas.Artificial Neural Networks(ANN) is a neural network to imitate animal behavior,which is the distributed parallel processing algorithms mathematical model.This network relies on the complexity of the system,by adjusting the internal connection between a large number of nodes,in order to achieve the purpose of dealing with information.Remote sensing based on neural network image recognition is the focus of the remote sensing image processing research in these years.First of all,this thesis introduces the basic theory of artificial neural networks and the pattern recognition,and uses the artificial neural network toolbox in the Matlab environment for the high spatial resolution remote sensing image recognition.