A remedy for nonstationarity in background transition regions for real time hyperspectral detection

IEEE Aerospace Conference Proceedings

Volumn 2006, Issue , 2006, Pages

  Schaum, A ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRICES; EXPECTATION MAXIMIZATION; GENERALIZED LIKELIHOOD RATIO TEST (GLRT); SIGNATURE-BASED DETECTION;

ALGORITHMS; COMPUTATION THEORY; DETECTORS; GAUSSIAN NOISE (ELECTRONIC); PARAMETER ESTIMATION; SENSORS; STATISTICAL METHODS;

REAL TIME SYSTEMS;

EID: 34047130822     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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8. Alan Stocker, A. Schaum, Application of stochastic mixing models to hyperspectral detection problems, Proc. of SPIE, Vol. 3071, 22 April, 1997, pp. 47-60.
9. Stein, Material identification and classification in hyperspectral imagery using the normal mixture model, Proc. of SPIE, Vol. 5093, 21 April, 2003, pp. 559-568.
10. M.T. Eismann and R.C. Hardie, "Improved initialization and convergence of a stochastic spectral unmixing algorithm," Applied Optics, vol. 43, pp. 6596-6608 (April 2004).