DocumentCode :
2782026
Title :
A spatiotemporal model for radar HRRP sequence recognition
Author :
Wang, Penghui ; Du, Lan ; Liu, Hongwei
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
fYear :
2010
fDate :
10-14 May 2010
Firstpage :
1005
Lastpage :
1008
Abstract :
A temporal factor analysis (TFA) model which can describe both the spatial structure and temporal dependency of high range resolution profiles (HRRP) has been proposed for radar HRRP sequence recognition. Variational Bayes method and Bayesian classifier are adopted for model learning and classification task, respectively. The favorable results based on measured data show the effectiveness of this model.
Keywords :
Bayes methods; image classification; radar resolution; variational techniques; Bayesian classifier; classification task; model learning; radar high range resolution profile sequence recognition; spatial structure; spatiotemporal model; temporal dependency; temporal factor analysis model; variational Bayes method; Bayesian methods; Laboratories; Radar scattering; Radar signal processing; Reflectivity; Signal analysis; Signal resolution; Spatial resolution; Spatiotemporal phenomena; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2010 IEEE
Conference_Location :
Washington, DC
ISSN :
1097-5659
Print_ISBN :
978-1-4244-5811-0
Type :
conf
DOI :
10.1109/RADAR.2010.5494474
Filename :
5494474
Link To Document :
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