DocumentCode :
892793
Title :
Efficient particle filter-based processing algorithm for clutter suppression and IR point targets enhancement
Author :
Liu, Z.J. ; Sang, H.S. ; Zhang, G.L.
Author_Institution :
Inst. for Pattern Recognition & Artificial Intelligence, Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
42
Issue :
7
fYear :
2006
fDate :
3/30/2006 12:00:00 AM
Firstpage :
395
Lastpage :
396
Abstract :
A novel soft decision-based median subtraction filter is presented for clutter suppression and infrared (IR) point targets enhancement. The decision is made based on a jump Markov model and its state and parameter estimation using a particle filter. The scheme is compared with other conventional clutter background removal techniques and good results are obtained.
Keywords :
Markov processes; image enhancement; infrared imaging; median filters; particle filtering (numerical methods); target tracking; clutter background removal techniques; clutter suppression; infrared point targets enhancement; jump Markov model; parameter estimation; particle filter-based processing algorithm; soft decision-based median subtraction filter; state estimation;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20063913
Filename :
1618300
Link To Document :
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