An efficient SAR ATR approach

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2003, Pages 429-432

  Han, Ping ^a,b   Wu, Renbiao ^b   Wang, Yunhong ^c   Wang, Zhaohua ^a  

^a TIANJIN UNIVERSITY   (China)

^b CIVIL AVIATION UNIVERSITY OF CHINA   (China)

^c INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGING TECHNIQUES; SYNTHETIC APERTURE RADAR;

TEMPLATE MATCHING;

AUTOMATIC TARGET RECOGNITION;

EID: 0141478651     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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3. S. Mika, G. Rätsch, J, Weston, B. Schölkopf, and K.-R. Müller. "Fisher discriminate analysis with kernels", in Neural Networks for Signal Processing IX, Y.-H. Hu, J. Larsen, E. Wilson, and S. Douglas, Eds. Piscataway, NJ: IEEE, pp41-48, 1999.
4. Bernhard Schölkopf, SebastianMika, Chris J.C.Burges, Philipp Knirsch, Klaus-Robert Müller, Gunnar Rätsch, AlexJ.Smola, "Input Space vs. Feature Space in Kernel-Based Methods", IEEE Trans.on Neural Networks, 10(5), pp1000-1017, 1999.
5. V.Roth and V.Steinhage, "Nonlinear discriminant analysis using kernel functions,"in Advances in Neural Information Processing Systems 12, MA: MIT. Press, pp568-574, 2000.
6. Timothy Ross, Stephen Worrell, Vincent Velten, John Mossing, and Michael Bryant. "Standard SAR ATR evaluation experiment using the MSTAR public release data set". SPIE, Vol.3370, pp566-573, April 1998.