DocumentCode
2980108
Title
Optimal projection space method for SAR target recognition
Author
Chang, Ming ; Su, Zhi-gang ; Wu, Ren-biao ; Han, Ping
Author_Institution
Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
fYear
2009
fDate
26-30 Oct. 2009
Firstpage
464
Lastpage
467
Abstract
Automatic target recognition technique, based on the projections in the samples range space, can be availably used in SAR target recognition. It requires that the relativity between the range spaces of different targets should be minimal. However, the relativity between the corresponding range spaces is very big if the different targets have similar appearance and structure, which will considerably reduce the recognition performance. So, it is essential to construct new projection spaces from the range spaces of similar targets, so as to enlarge projection difference. In this paper, an efficient method for constructing the optimal projection space is proposed. The proposed method can effectively enlarge the difference between similar targets by the projections in the optimal projection space. Experimental results show that the optimal projection space can greatly increase the separability between different similar targets, and is superior to other classical methods in both recognition performance and efficiency.
Keywords
radar target recognition; synthetic aperture radar; SAR target recognition; automatic target recognition; optimal projection space method; recognition performance; samples range space; Data mining; Eigenvalues and eigenfunctions; Feature extraction; Image reconstruction; Pixel; Radar imaging; Radar signal processing; Space technology; Spaceborne radar; Target recognition; Automatic Target Recognition; Projection Space; Synthetic Aperture Radar;
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.2009.5374130
Filename
5374130
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