Kernel RX: A new nonlinear anomaly detector

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5806, Issue PART I, 2005, Pages 35-46

  Kwon, Heesung ^a   Nasrabadi, Nasser M ^a  

^a U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NONLINEAR MAPPING FUNCTIONS; RX-ALGORITHMS;

FUNCTIONS; IMAGE SENSORS; PERFORMANCE;

ALGORITHMS;

EID: 27544499326     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.601834     Document Type: Conference Paper

References (12)

1. I. S. Reed and X. Yu. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution. IEEE Trans. Acoustics, Speech and Signal Process., 38(10): 1760-1770, Oct. 1990.
2. X. Yu and I. S. Reed. Comparative performance analysis of adaptive multispectral detectors. IEEE Trans. Signal Process., 41(8):2639-2656, 1993.
3. D. W. J. Stein, S. G. Beaven, L. E. Hoff,. Winter, E. M. A. P. Schaum, and A. D. Stocker. Anomaly detection from hyperspectral imagery. IEEE Signal Processing Mag., 19:58-69, 2002.
4. H. Kwon, S. Z. Der, and N. M. Nasrabadi. Adaptive anomaly detection using subspace separation for hyperspectral images. Optical Engineering, 42(11 ):3342-3351, Nov. 2003.
5. C-.I. Chang and S-.S. Chiang. Anomaly detection and classification for hyperspectral imagery. IEEE Trans. Geosci. Remote Sensing, 40(6): 1314-1325, June 2002.
6. D. Manolakis and G Shaw. Detection algorithms for hyperspectral imaging applications. IEEE Signal Processing Magazine, 19(1):29-43, Jan. 2002.
7. C. M. Stellman, G. G. Hazel, F. Buchholtz, and Michalowicz. J. V. Real-time hyperspectral detection and cuing. Optical Engineering, 39(7): 1928-1935, July 2000.
8. B Schökopf and A. J. Smola. Learning with Kernels. The MIT Press, 2002.
9. I. T. Joliffe. Principal Component Analysis. Springer-Verlag, 1986.
10. A. K. Jain, M. N. Murty, and P. J. Flynn. Data clustering: a review. ACM Computing Surveys, 31(3):264-323, 1999.
11. B Schökopf, A. J. Smola, and K.-R. Müller. Kernel principal component analysis. Neural Computation, (10):1299-1319, 1999.
12. G. Strang. Linear algebra and its applications. Harcourt Brace & Company, 1986.