A Bayesian framework for ATR decision-level fusion experiments

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6571, Issue , 2007, Pages

  Morgan, Douglas R ^a   Ross, Timothy D ^b  

^a Consultant to BAE ^*  (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN PROBABILITY COMPUTATIONS; FUSION SYSTEM MODELS;

ALGORITHMS; BAYESIAN NETWORKS; COMPUTER SIMULATION; IMAGE FUSION; PROBABILITY; STOCHASTIC CONTROL SYSTEMS;

AUTOMATIC TARGET RECOGNITION;

EID: 35948961166     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.719766     Document Type: Conference Paper

References (8)

1. T. Ross, J. Bradley, L. Hudson, M. O'Conner, "SAR ATR - So What's The Problem? - An MSTAR Perspective", Proc. SPIE, Vol. 3721, Algorithms for Synthetic Aperture Radar Imagery VI, April 1999
2. R. Thornburg, P. Maciejewski, R. Claypool, T. Horn, M. Jarratt, and L. Westerkamp., "Evaluation Methodology for Hyperspectral Automatic Target Cueing Systems". SPIE 2002 AeroSense, Algorithms and Technologies for Multispectral, Hyperspectral and Ultraspectral Imagery Conference, Vol. 4725, pp.387-396, April 2002
3. B. Dasarathy, Decision Fusion, IEEE Computer Society, August 1993
4. nd Ed., Artech House, 2004
5. R. O. Duda, P. E. Hart and D. G. Stork, Pattern Classification, 2nd ed., Wiley Interscience, 2001
6. B. Dasarathy, Decision Fusion, IEEE Computer Society (August 1993)
7. J. Llinas, "Assessing the Performance of Multisensor Fusion Processes," Ch. 20 in Handbook of Multisensor Data Fusion, D. Hall and J. Llinas (eds), CRC Press, 2001
8. E. P. Blasch, J. Hoffman, and J. Petty, "Defining a Fusion Gain - System Operation Characteristic Curve," SPIE Int. Sym. On Aerospace/Defense Simulation & Control, Conf 4380 - Sensor Fusion X, Orlando, FL, April 2001