Application of the Information Fusion Based on Evidence Theory in Urban Development

摘要

Traditonal remote sensing image classification methods have been mature,especially the maximum likelihood technique based on statistical analysis methods.But Traditonal remote sensing image classification methods can't handle multiple source remotely sensed data,in order to make optimized decisions,better use must be made of all available information acquired from different sources.Evidential reasoning has been proposed as one of the most promising approaches for integrating multisource information. We expatiate on Dempster-Shafer evidence theory and present a method of multi-source information fusion based on it.We also apply this method in urban development.The experimental results show that this method present in this paper is effective,and it can greatly improve the ability of image classification.