Modeling Hyperspectral Imaging Data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5093, Issue , 2003, Pages 253-262

  Marden, David B ^a   Manolakis, Dimitris ^b  

^a NORTHEASTERN UNIVERSITY   (United States)

^b MIT LINCOLN LABORATORY   (United States)

Author keywords

Algorithms; Elliptically Contoured Distributions; Hyperspectral imaging; Multivariate mixture models

Indexed keywords

ELLIPTICALLY CONTOURED DISTRIBUTIONS (ECD); HYPERSPECTRAL IMAGING; MULTIVARIATE MIXTURE MODELS;

ALGORITHMS; DATA REDUCTION; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; SCANNING ELECTRON MICROSCOPY; SENSORS; SPACE PLATFORMS;

IMAGE ANALYSIS;

EID: 1642515081     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.485933     Document Type: Conference Paper

References (4)

1. D. Manolakis, D. Marden, J. Kerekes, and G. Shaw, "On the statistics of hyperspectral imaging data," in Algorithms for Multispectral and Hyperspectral Imagery, SPIE, (Orlando, FL), April 2001.
2. A. C. Rencher, Multivariate Statistical Inference and Applications, Wiley, New York, 1998.
3. K. T. Fang, S. Kotz, and K. W. Ng, Symmetric Multivariate and Related Distributions, Chapman and Hall, New York, 1990.
4. M. Rangaswamy, D. Weiner, and A. Ozturk, "Computer generation of correlated non-gaussian radar clutter," IEEE Transactions on Aerospace and Electronic Systems 31, pp. 106-116, January 1995.