Stochastic compositional models applied to subpixel analysis of hyperspectral imagery

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4480, Issue , 2002, Pages 49-56

  Stein, David W J ^a  

^a Space and Naval Warfare Systems Center Pacific   (United States)

Author keywords

Classification; Hyperspectral; Linear unmixing; Target detection

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; STATISTICAL METHODS; VECTORS;

TARGET DETECTION;

IMAGE SENSORS;

EID: 0036395066     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.453365     Document Type: Conference Paper

References (7)

1. S.G. Beaven, D.W.J. Stein, and L.E. Hoff, "Comparison of Gaussian Mixture and Linear Mixture Models for Classification of Hyperspectral Data", International Geoscience and Remote Sensing conference, IGARSS, Honolulu, HI, July 2000.
2. L. Jimenez and D. Landgrebe, "Supervised Classification in High Dimensional Space: Geometrical, Statistical, and Asymptotical Properties of Multivariate Data," IEEE Transactions on Systems, Man and Cybernetics, Volume 28 Part C, NO. 1, February 1998, pp. 39-54.
3. J.H. Bowles, M. Daniel, J.M. Grossman, J.A. Antoniades, M.M. Baumback, P.J. Palmadesso, "Comparison of output from ORASIS and pixel purity calculations," Proceedings of SPIE, volume 3438, Imaging Spectrometry IV, M.J. Descour and S.S. Shen, (eds), 20-21 July, 1998, pp. 148-156.
4. A.D. Stocker and A.P. Schaum, "Application of stochastic mixing models to hyperspectral detection problems," SPIE Proceedings 3071, Algorithms for Multispectral and Hyperspectral Imagery III, S.S. Shen and A.E. Iverson eds. August 1997.
5. C.A. Bateson, G.P. Asner, and C.A. Wessman, "End-member Bundles: A New Approach to Incorporating End-member Variability into Spectral Mixture Analysis, IEEE Transactions on Geoscience and Remote Sensing, Vol 38 no. 2, March 2000, pp. 1083-1094.
6. M.E. Winter, "Fast Autonomous Spectral End-member Determination In Hyperspectral Data," Proceedings of the thirteenth International Conference on Applied Geologic Remote Sensing, Vol II, pp. 337-344, Vancouver, B.C., Canada, 1999.
7. C.F.J. Wu, "On the Convergence Properties of the EM algorithm," Ann. Stat. vol. 11, no.1, pp. 95-103, Jan. 1983.