Application of the information fusion based on evidence theory in urban development

Ai. Chen; Zequn Guan

doi:10.1117/12.654846

3 November 2005 Application of the information fusion based on evidence theory in urban development

Ai. Chen, Zequn Guan

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430J (2005) https://doi.org/10.1117/12.654846
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Traditional remote sensing image classification methods have been mature,especially the maximum likelihood technique based on statistical analysis methods. But Traditional 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 multisource 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.

Citation Download Citation

Ai. Chen and Zequn Guan "Application of the information fusion based on evidence theory in urban development", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430J (3 November 2005); https://doi.org/10.1117/12.654846

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