Title :
Data fusion for object classification
Author :
Heading, A.J.R. ; Bedworth, M.D.
Author_Institution :
Defence Research Agency, Great Malvern, UK
Abstract :
Consideration is given to methods for integrating information from sensors with different modalities in order to give more accurate classifications. An examination is made of principled methods for structuring classifier modules and combining them into complete systems. The consequences of using particular mechanisms for the component transformations are analyzed and some illustrations are given
Keywords :
pattern recognition; probability; signal processing; statistical analysis; classifier modules; component transformations; data fusion; modalities; object classification; pattern recognition; probability; Bayesian methods; Degradation; Entropy; Histograms; Internet; Medical diagnosis; Parameter estimation; Pattern recognition; Permission; Training data;
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
DOI :
10.1109/ICSMC.1991.169790
