Hyperspectral target detection using a Bayesian likelihood ratio test

IEEE Aerospace Conference Proceedings

Volumn 3, Issue , 2002, Pages 1537-1540

  Schaum, A ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENERALIZED LIKELIHOOD RATIO; HYPERSPECTRAL DATA; HYPERSPECTRAL TARGET DETECTION; LIKELIHOOD RATIO TESTS; LIKELIHOOD RATIOS; MEASUREMENT PROGRAMS; PRIOR DISTRIBUTION; SUBSPACE DETECTION;

AEROSPACE ENGINEERING;

EID: 35948943304     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2002.1035292     Document Type: Conference Paper

References (5)

1. A, Schauta, Spectral Subspace Matched Filtering, invited paper at SPIE Aerosense Symposium, April 2001, to be published in SPIE Proceedings.
2. Reed, I.S. and X. Yu, "Adaptive multi-band CFAR detection of an optical pattern with unknown spectral distribution," IEEE, Trans. Acoustics, Speech, and Signal Processing, 38(10), (1990).
3. G. Healey, D. Slater, "Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions," IEEE Trans. Geoscience Remote Sens., vol. 37, pp. 2706-2717, 1999. (Pubitemid 30519603)
4. Sabol, D. J.B. Adams and M.O. Smith, "Quantitative subpixel spectral detection of targets in multispectral images," Jour. Geoph. Res., 97(E2), 259-2672 (1992).
5. A Schaum, A, Stocker, Subpixel detection methods: spectral unmixing, correlation processing, and when they are appropriate, Proc. International symposium on spectral sensing research, 1994.