Hyperspectral feature classification with alternate wavelet transform representations

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6315, Issue , 2006, Pages

  Scholl, James F ^a   Hege, E Keith ^a,b   Lloyd Hart, Michael ^a   Dereniak, Eustace L ^a  

^a UNIVERSITY OF ARIZONA   (United States)

^b MKS Imaging Technology LLC   (United States)

Author keywords

Classification; Hyperspectral signal processing; Remote sensing; Wavelet packets; Wavelet transforms

Indexed keywords

CLASSIFICATION PERFORMANCE; HYPERSPECTRAL SIGNAL PROCESSING; WAVELET PACKETS;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA ACQUISITION; REMOTE SENSING; SIGNAL PROCESSING; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

EID: 33750595654     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.682583     Document Type: Conference Paper

References (9)

1. J. F. Scholl and E. L. Dereniak, "Higher-dimensional wavelet transforms for hyperspectral data compression and feature recognition," Proceedings of SPIE, Volume 5208: Mathematics of Data/Image Coding, Compression and Encryption VI with Applications, M. S. Schmalz, editor, pp. 129-140, (2003).
2. J. F. Scholl and E. L. Dereniak, "Fast wavelet based feature extraction of spatial and spectral information from hyperspectral datacubes," Proceedings of SPIE, Volume 5546: Imaging Spectrometry X, S. S. Shen and P. E. Lewis, editors, pp. 285-293, (2004).
3. J. F. Scholl, E. L. Dereniak and E. K. Hege, "Fast feature extraction in hyperspectral imagery using lifting wavelet transforms," Proceedings of SPIE, Volume 5915: Mathematics of Data/Image Coding, Compression and Encryption VIII with Applications, M. S. Schmalz, editor, pp. 59150N 1-12, (2005).
4. D. S. Taubman and M. W. Marcellin, JPEG2000: Image Compression Fundamentals, Standards and Practice, (Boston MA: Kluwer Academic Publishers), 2002.
5. W. Sweldens, "The lifting scheme: A custom-design construction of biorthogonal wavelets," Applied and Computational Harmonic Analysis, 3, 186-200, (1996).
6. R. Calderbank, I. Daubechies, W. Sweldens and B. Yeo, "Wavelet transforms that map integers to integers," Applied and Computational Harmonic Analysis, 5, 332-369, (1998).
7. S. Mallat, A Wavelet Tour of Signal Processing, second edition, (Academic Press), 1999, Chapter VIII.
8. J. F. Scholl, E. K. Hege, M. Lloyd-Hart, D. O'Connell, W. R. Johnson, and E. L. Dereniak, "Evaluations of classification and spectral unmixing algorithms using ground based satellite imaging," Proceedings of SPIE, Volume 6233: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, S. S. Shen and P. E. Lewis, editors, to be published, (2006).
9. J. F. Scholl, E. K. Hege and E. L. Dereniak, "Figure of merit calculations for spectral unmixing and classification algorithms," Proceedings of SPIE, Volume 6315: Mathematics of Data/Image Pattern Recognition, Compression and Encryption with Applications, G. X. Ritter, M. S. Schmalz, J. Barrera and J. T. Astola, editors, to be published, 2006.