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