Continuum fusion: A new methodology for creating hyperspectral detection algorithms

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7695, Issue , 2010, Pages

  Schaum, A ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Affine; Detection; Fusion; Hyperspectral; Subspace

Indexed keywords

COMPOSITE HYPOTHESIS TESTING; DETECTION ALGORITHM; DETECTION FUSION; FUSION METHODS; GENERALIZED LIKELIHOOD RATIO TEST; HYPERSPECTRAL; HYPERSPECTRAL MODELS; MODEL-BASED; PARAMETER VALUES; PARTIAL DIFFERENTIAL;

MAXIMUM LIKELIHOOD ESTIMATION; SIGNAL DETECTION;

ALGORITHMS;

EID: 77953731179     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.849475     Document Type: Conference Paper

References (5)

1. Harry L. Van Trees, Detection, Estimation, and Modulation Theory, Part I, (USA, John Wiley & Sons, 1968).
2. Louis Scharf, Statistical Signal Processing (USA, Addison-Wesley, 1990).
3. A. Schaum, Detector fusion: a theory of inference, with applications to hyperspectral detection, Optics Express, March, 2010.
4. A. Schaum, Richard Priest, The Affine Matched Filter, Proc. SPIE Vol. 7334, 733403-1 - 733403-9, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 2009 SPIE.
5. A. Schaum, Hyperspectral Target Detection using a Bayesian Likelihood Ratio Test, Proceedings 2002 IEEE Aerospace Conference, Vol. 3, Pages 3-1537 to 3-1540, 9-16 March 2002.