Title :
Aircraft Target Recognition Based on Recursive Inference of Fuzzy Discrete DBNs
Author :
Wang, Huange ; Gao, Xiaoguang ; Thompson, Chris P.
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xian
Abstract :
Nowadays dynamic Bayesian network (DBN) has been well known for its marvelous capabilities in modeling and analyzing a wide range of sequential systems. The notable advantage of DBN lies in it provides a good solution to the inference problems caused by uncertainty and complexity. Usually the main reason for uncertainty is randomicity; however, sometimes it could also be caused by vagueness. Since fuzzy logic is an effective tool to solve the latter problem, this paper presents the idea of merging fuzzy classification with discrete DBN, which improves the representing as well as reasoning abilities of discrete DBN and enables it to deal with the inference problems concerning continuous observational data. Finally, the validity of fuzzy discrete DBNs combined with a recursive inference algorithm has been demonstrated by an aircraft target recognition example.
Keywords :
aircraft; belief networks; fuzzy reasoning; fuzzy set theory; object recognition; pattern classification; aircraft target recognition; dynamic Bayesian network; fuzzy classification; fuzzy discrete DBN; fuzzy logic; reasoning ability; recursive inference; Aerospace electronics; Aircraft; Bayesian methods; Electronic mail; Fuzzy logic; Fuzzy sets; Hidden Markov models; Inference algorithms; Target recognition; Uncertainty; Fuzzy classification; discrete DBNs; inference algorithm;
Conference_Titel :
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3330-8
DOI :
10.1109/ICACC.2009.18