Wetland Landscape Classification Based on the BP Neural Network in DaLinor Lake Area

Abstract

With the applications of remote sensing in the study of wetland landscape is more and more extensive, computer automatic classification method appears especially important. In this paper, using TM remote sensing data in August 2008 year in Dalinor, Research to application of BP neural network and Traditional classification methods - maximum likelihood. Through the selection of training samples, Choice of training algorithm and Optimal number of hidden neurons to determine, the precision of BP neural network classification and the accuracy of maximum likelihood classification are compared, The results showed that BP neural network based on LM algorithm is better than the maximum likelihood method for classify to remote sensing image Higher accuracy.