Fusing multiple images with evidential reasoning

Xiaohui Yuan; Jian Zhang; Bill P. Buckles

doi:10.1117/12.486395

1 April 2003 Fusing multiple images with evidential reasoning

Xiaohui Yuan, Jian Zhang, Bill P. Buckles

Proceedings Volume 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003; (2003) https://doi.org/10.1117/12.486395
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

An approach to fuse multiple images based on Dempster-Shafer evidential reasoning is proposed in this article. Dempster-Shafer theory provides a complete framework for combining weak evidences from multiple sources. Such situations typically arise in the image fusion problems, where a `real scene' image has to be estimated from incomplete and unreliable observations. By converting images from their spatial domain into the evidential representations, decisions are made to aggregate evidences such that a fused image is generated. The proposed fusion approach is evaluated on a broad set of images and promising results are given.

Citation Download Citation

Xiaohui Yuan, Jian Zhang, and Bill P. Buckles "Fusing multiple images with evidential reasoning", Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, (1 April 2003); https://doi.org/10.1117/12.486395

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