A comparative analysis of kernel subspace target detectors for hyperspectral imagery

Eurasip Journal on Advances in Signal Processing

Volumn 2007, Issue , 2007, Pages

  Kwon, Heesung ^a   Nasrabadi, Nasser M ^a  

^a U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; CONFORMAL MAPPING; DETECTORS; LEARNING SYSTEMS;

HYPERSPECTRAL IMAGERY; KERNEL SUBSPACE TARGET DETECTORS; SPECTRAL MATCHED (SUBSPACE) FILTERS;

IMAGING TECHNIQUES;

EID: 33846220041     PISSN: 11108657     EISSN: 16870433     Source Type: Journal    
DOI: 10.1155/2007/29250     Document Type: Article

References (30)

1. L. L. Scharf B. Friedlander Matched subspace detectors. IEEE Transactions on Signal Processing 42 8 1994 2146 2156
2. J. C. Harsanyi C.-I. Chang Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach. IEEE Transactions on Geoscience and Remote Sensing 32 4 1994 779 785
3. D. Manolakis G. Shaw N. Keshava Comparative analysis of hyperspectral adaptive matched filter detectors. Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI Proceedings of SPIE Orlando, Fla, USA 4049 2000 2 17
4. F. C. Robey D. R. Fuhrmann E. J. Kelly R. Nitzberg A CFAR adaptive matched filter detector. IEEE Transactions on Aerospace and Electronic Systems 28 1 1992 208 216
5. S. Kraut L. L. Scharf The CFAR adaptive subspace detector is a scale-invariant GLRT. IEEE Transactions on Signal Processing 47 9 1999 2538 2541
6. S. Kraut L. L. Scharf L. T. McWhorter Adaptive subspace detectors. IEEE Transactions on Signal Processing 49 1 2001 1 16
7. H. Kwon N. M. Nasrabadi Kernel matched subspace detectors for hyperspectral target detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 2 2006 178 194
8. H. Kwon N. M. Nasrabadi nnasraba@arl.army.mil Kernel orthogonal subspace projection for hyperspectral signal classification. IEEE Transactions on Geoscience and Remote Sensing 43 12 2005 2952 2962
9. H. Kwon N. M. Nasrabadi Kernel adaptive subspace detector for hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing 3 2006 2 271 275
10. H. Kwon N. M. Nasrabadi Kernel spectral matched filter for hyperspectral target detection. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '05) 4 Philadelphia, Pa, USA 2005 665 668
11. V. N. Vapnik The Nature of Statistical Learning Theory. Springer New York, NY, USA 1999
12. B. Schölkopf A. J. Smola Learning with Kernels. MIT Press Cambridge, Mass, USA 2002
13. B. Schölkopf A. J. Smola K.-R. Müller Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10 5 1998 1299 1319
14. G. Baudat F. Anouar Generalized discriminant analysis using a kernel approach. Neural Computation 12 10 2000 2385 2404
15. M. Girolami Mercer kernel-based clustering in feature space. IEEE Transactions on Neural Networks 13 3 2002 780 784
16. A. Ruiz P. E. Lopez-de-Teruel Nonlinear kernel-based statistical pattern analysis. IEEE Transactions on Neural Networks 12 1 2001 16 32
17. C. H. Park H. Park hpark@cs.umn.edu Nonlinear feature extraction based on centroids and kernel functions. Pattern Recognition 37 4 2004 801 810
18. H. Kwon hkwun@arl.army.mil N. M. Nasrabadi Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing 43 2 2005 388 397
19. E. Maeda H. Murase Multi-category classification by kernel based nonlinear subspace method. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '99) 2 Phoenix, Ariz, USA 1999 1025 1028
20. M. M. Dundar murat.dundar@siemens.com D. A. Landgrebe landgreb@ecn.purdue.edu Toward an optimal supervised classifier for the analysis of hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing 42 1 2004 271 277
21. E. Pekalska P. Paclik R. P. W. Duin A generalized kernel approach to dissimilarity based classification. Journal of Machine Learning Research 2 2001 175 211
22. J. Lu K. N. Plataniotis kostas@dsp.toronto.edu A. N. Venetsanopoulos Face recognition using kernel direct discriminant analysis algorithms. IEEE Transactions on Neural Networks 14 1 2003 117 126
23. J. J. Settle On the relationship between spectral unmixing and subspace projection. IEEE Transactions on Geoscience and Remote Sensing 34 4 1996 1045 1046
24. B. D. Van Veen K. M. Buckley Beamforming: a versatile approach to spatial filtering. IEEE ASSP Magazine 5 2 1988 4 24
25. J. C. Harsanyi Detection and classification of subpixel spectral signatures in hyperspectral image sequences. Department of Computer Science & Electrical Engineering, University of Maryland Baltimore, Md, USA 1993 Ph.D. dissertation
26. C.-I. Chang Hyperspectral Imaging: Techniques for Spectral Detection and Classification. Kluwer Academic / Plenum New York, NY, USA 2003
27. L. L. Scharf Statistical Signal Processing. Addison-Wesley Reading, Mass, USA 1991
28. D. H. Johnson D. E. Dudgeon Array Signal Processing. Prentice Hall Englewood Cliffs, NJ, USA 1993
29. J. Capon High resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE 57 1969 8 1408 1418
30. G. Strang Linear Algebra and Its Applications. Harcourt Brace Orlando, Fla, USA 1986