Dual-color data fusion based on Dempster-Shafer reasoning and fuzzy set

Jianyong Gong; Mingyue Ding; Chengping Zhou

doi:10.1117/12.323598

25 September 1998 Dual-color data fusion based on Dempster-Shafer reasoning and fuzzy set

Jianyong Gong, Mingyue Ding, Chengping Zhou

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323598
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

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.

Citation Download Citation

Jianyong Gong, Mingyue Ding, and Chengping Zhou "Dual-color data fusion based on Dempster-Shafer reasoning and fuzzy set", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323598

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