Perspectives on the fusion of image and non-image data

Proceedings - Applied Imagery Pattern Recognition Workshop

Volumn 2003-January, Issue , 2004, Pages 217-220

  Hall, D L ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA FUSION; MILITARY APPLICATIONS; PATTERN RECOGNITION; SENSOR DATA FUSION;

DECISION LEVELS; FEATURE LEVEL; HUMAN-IN-THE-LOOP; KNOWLEDGE LEVEL; MULTI-SENSOR FUSION; MULTI-SENSOR SYSTEMS; MULTIPLE LEVELS; SITUATION ASSESSMENT;

IMAGE FUSION;

EID: 48549106551     PISSN: 21642516     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIPR.2003.1284274     Document Type: Conference Paper

References (13)

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3. Nichols, M., A survey of multisensor data fusion systems, in Handbook of Multisensor Data Fusion, D. Hall and J. Llinas, Editors. 2001, CRC Press: Boca Raton, FL.
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6. Bowman, C. and A. Steinberg, A systems engineering approach for implementing data fusion systems, in Handbook of Multisensor Data Fusion, D. Hall and J. Llinas, Editors. 2001, CRC Press: New York.
7. Llinas, J.e.a., Engineering guidelines for data correlation algorithm characterization. 1996, State University of New York at Buffalo: Buffalo, NY.
8. Pinker, S., How the Mind Works. 1997, London: Penguin Books.
9. Pinker, S., The Language Instinct: How the Mind Creates Language. 2000: Harper Perennial.
10. Wang, J.Z., J. Li, and G. Wiederhold, SIMPLicity: Semantics-sensitive Integrated Matching for Picture Libraries. IEEE Transactions on PAMI, 2000. 23: p. 1-21.
11. Frank, R., Understanding Smart Sensors. 1995, Norwood, MA: Artech House, Inc.
12. Hall, D. and A. Garga. Hybrid reasoning techniques for automated fault classification. in Society for Machinery Failure Prevention, 51st Meeting. 1997.
13. Semerdjiev, E., et al., Interacting multiple model algorithm for maneouvering ship tracking based on new ship models. Information and Security, 1999. 2.