By Topic

Ontology-based multimode information fusion method

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chunjiang Zhao ; National Engineering Research Center for Center for Information Technology in Agriculture, Beijing, China ; Huarui Wu ; Ronghua Gao

In order to better use with massive, heterogeneous, multimode and other characteristics of information, eliminate redundancy, the formation of the system environment is relatively complete and consistent description. It can ensure rapid and correct decision-making, planning and reflection. In this paper, a multimode information fusion method is proposed aimed at the shortcomings of hierarchical structure. Different databases and data files between different formats can be shielded, while the fuzzy neural network algorithm, make text, images and video seamless fusion by continuous learning. Experimental results show that the method of this paper is better than exist on fusion algorithms at the right rate, leakage pick up rate and false acceptance rata.

Published in:

2011 IEEE International Conference on Cloud Computing and Intelligence Systems

Date of Conference:

15-17 Sept. 2011