DocumentCode :
2979994
Title :
Synthetic aperture radar identification based on information fusion
Author :
Nan, Li ; Changwen, Qu ; Feng, Su ; Dianfa, Ping
Author_Institution :
Electron. & Inf. Eng. Dept, Naval Aeronaut. & Astronaut. Univ., Yantai, China
fYear :
2009
fDate :
26-30 Oct. 2009
Firstpage :
481
Lastpage :
484
Abstract :
In this paper, a novel method based on data fusion for identifying synthetic aperture radar is introduced. Basic probability assignment function obtaining of D-S evidence theory is a difficult problem. The method of obtaining BPAF based on feature parameters resemble is proposed. The synthetic aperture radar identification fusion model based on obtaining BPAF method is constructed and synthetic aperture radar identification experiments are done. Results show that obtaining BPAF method of this paper is effective. New identification model performs much better than template matching model.
Keywords :
image matching; probability; sensor fusion; synthetic aperture radar; D-S evidence theory; basic probability assignment function; feature parameter resemble; information fusion; synthetic aperture radar identification; template matching model; Extraterrestrial measurements; Frequency diversity; Frequency measurement; Radar imaging; Radar measurements; Radar theory; Radio frequency; Radiofrequency identification; Synthetic aperture radar; Writing; Evidence theory; Information fusion; SAR identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
Type :
conf
DOI :
10.1109/APSAR.2009.5374125
Filename :
5374125
Link To Document :
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