Kernel principal component analysis for feature reduction in hyperspectrale images analysis

Proceedings of the 7th Nordic Signal Processing Symposium, NORSIG 2006

Volumn , Issue , 2006, Pages 238-241

  Fauvel, Mathieu ^a,b   Chanussot, Jocelyn ^a   Benediktsson, Jon Atli ^b  

^a GIPSA LAB   (France)

^b UNIVERSITY OF ICELAND   (Iceland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; FEATURE EXTRACTION; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

HYPERSPECTRAL REMOTE SENSING DATA; HYPERSPECTRALE IMAGES ANALYSIS;

REMOTE SENSING;

EID: 39049167126     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NORSIG.2006.275232     Document Type: Conference Paper

References (8)

1. K.R Müller, S. Mika, G. Rätsch, K. Tsuda, and B. Schölkopf, "An introduction to kernel-based learning algorithms," IEEE Trans. Neural Networks, vol. 12, no. 2, pp. 181-202, Mar. 2001.
2. C.J.C Burges, "A tutorial on support vector machines for pattern recognition," Knowledge Discovery and Data Mining, vol. 2, pp. 121-167, 1998.
3. B. Schölkopf, A.J. Smola, and K.-R Müller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Computation, vol. 10, pp. 1299-1319, 1998.
4. G. F. Hughes, "On the mean accuracy of statistical pattern recognizers," IEEE Trans. Inform. Theory, 1968.
5. D.A. Landgrebe, Signal theory methods in multispectral remote sensing, NJ: Wiley, 2003.
6. A. Hyvärinen, J. Karhunen, and E. Oja, Independant component analysis, John Wiley and Sons, New York, 2001.
7. J. Shawe-Taylor and N. Cristianini, Kernel methods for pattern analysis, Cambridge University Press, 2004.
8. M. Fauvel, J. Chanussot, and J. A. Benediktsson, "Evaluation of kernels for multiclass classification of hyperspectral remote sensing data," in Proc. ICASSP, May 2006.