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
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