论文信息 - Unsupervised multisensor data fusion approach

Unsupervised multisensor data fusion approach

A new iterative approach of multisensor data fusion based on the Dempster-Shafer (1976) formalism is presented. Mass functions, formalized by a Gaussian model, are estimated at each iteration using the output fused image and the source images. The effectiveness of the method is demonstrated on synthetic images.

Abdel-Ouahab Boudraa | Fabien Salzenstein | A. Boudraa | F. Salzenstein

[1] D. L. Hall,et al. Mathematical Techniques in Multisensor Data Fusion , 1992 .

[2] Philippe Smets,et al. The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[3] Isabelle Bloch,et al. Application of Dempster-Shafer evidence theory to unsupervised classification in multisource remote sensing , 1997, IEEE Trans. Geosci. Remote. Sens..

[4] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.