DocumentCode :
2018834
Title :
Model theory based fusion framework with application to multisensor target recognition
Author :
Korona, Zbigniew ; Kokar, Mieczyslaw M.
Author_Institution :
Northeastern Univ., Boston, MA, USA
fYear :
1996
fDate :
8-11 Dec 1996
Firstpage :
9
Lastpage :
16
Abstract :
In this work, we present a model theory based fusion methodology for multisensor wavelet-features based recognition called automatic multisensor feature-based recognition system (AMFRS). The goal of this system is to increase accuracy of the commonly used wavelet-based recognition techniques by incorporating symbolic knowledge (symbolic features) about the domain and by utilizing a model theory based fusion framework for multisensor feature selection
Keywords :
feature extraction; sensor fusion; wavelet transforms; automatic multisensor feature-based recognition system; model theory based fusion framework; multisensor target recognition; multisensor wavelet-features based recognition; symbolic features; symbolic knowledge; Computational complexity; Diversity reception; Formal languages; Sensor fusion; Sensor systems; Target recognition; Testing; Time factors; Wavelet coefficients; Wavelet domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3700-X
Type :
conf
DOI :
10.1109/MFI.1996.568493
Filename :
568493
Link To Document :
بازگشت