Improved modeling of background distributions in an end-to-end spectral imaging system model

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue , 2004, Pages 972-975

  Kerekes, John P ^a   Manolakis, Dimitris ^b  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Hyperspectral data modeling; Non gaussian distributions

Indexed keywords

DATA REDUCTION; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SENSORS; IMAGING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; STATISTICAL METHODS;

HYPERSPECTRAL DATA MODELING; MULTICLASS GAUSSIAN DISTRIBUTIONS; NON-GAUSSIAN DISTRIBUTIONS; SPECTRAL STATISTICS;

REMOTE SENSING;

EID: 15944398346     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. D. Manolakis, C. Siracusa, and G. Shaw, "Hyperspectral Subpixel Target Detection Using the Linear Mixing Model," IEEE Trans. on Geosci. and Rem. Sens., vol. 39, no. 7, pp. 1392-1409, July 2001.
2. J.P. Kerekes and J.E. Baum, "Spectral Imaging System Analytical Model for Subpixel Object Detection," IEEE Trans. on Geosci. and Rem. Sens., vol. 40, no. 5, pp. 1088-1101, May 2002.
3. D. Marden and D. Manolakis., "Modeling Hyperspectral Imaging Data Using Elliptically Contoured Distributions," Proceedings of Algorithms and Technologies for Multi spectral, Hyperspectral, and ultraspectral Imagery IX, SPIE vol. 5093, pp. 213-262, 2003.
4. D. Manolakis, "Evaluation Of Matched Filter Detection Performance In Hyperspectral Imaging," to appear in Proceedings of International Geoscience and Remote Sensing Symposium 2004, Anchorage, AK, 20-24 September 2004.
5. K.T. Fang, S. Kotz, and K.W. Ng, Symmetric Multivariate and Related Distributions, Chapman and Hall, New York, 1990.