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Proceedings Paper

Dual-color data fusion based on Dempster-Shafer reasoning and fuzzy set
Author(s): Jianyong Gong; Mingyue Ding; Chengping Zhou
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Paper Abstract

Data fusion is heavily concentrated in both inland and overseas. Nowadays, among many developed algorithms, Dempster-Shafer reasoning and fuzzy set technology are widely used and most representative. A new data fusion approach of generalizing Dempster-Shafer reasoning to fuzzy set is presented in this paper. And it is used to deal with by object recognition with rosette scanning dual color data from infrared and ultra-violet sensors. The simulated experiments illustrated that our approach can eliminate false targets and recognize target correctly.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323598
Show Author Affiliations
Jianyong Gong, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (Canada)
Chengping Zhou, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)

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