Decentralized M-ary detection via hierarchical binary decision fusion

Information Fusion

Volumn 2, Issue 1, 2001, Pages 3-16

  Zhang, Qian ^a   Varshney, Pramod K ^a  

^a Syracuse University   (United States)

Author keywords

Bhattacharyya distance; Binary decision tree classifiers; Binary decision trees; Decision fusion; Multisensor fusion; Statistical distance measures

Indexed keywords

EID: 0041639511     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1566-2535(00)00017-8     Document Type: Article

References (18)

1. Varshney Pramod K. Distributed Detection and Data Fusion. 1997;Springer, New York.
2. R. Viswanathan, P.K. Varshney, Distributed detection with multiple sensors: Part I - Fundamentals, in: Proceedings of the IEEE 85(1), January 1997, pp. 54-63.
3. R.S. Blum, S.A. Kassam, H.V. Poor, Distributed detection with multiple sensors: Part II - Advanced topics, in: Proceedings of the IEEE 85(1), January 1997, pp. 64-79.
4. Tsitsiklis J.N. Decentralized detection. Advances in Statistical Signal Processing. 2:1993;297-344.
5. Tang Z.B., Pattipati K.R., Kleinman D.L. An algorithm for determining the decision thresholds in a distributed detection problem. IEEE Transactions on Systems, Man and Cybernetics. 21(1):1991;231-237.
6. Z.B. Tang, Optimization of detection networks, Ph.D. Dissertation, University of Connecticut, 1990.
7. Helstrom C.W. Gradient algorithm for quantization levels in distributed detection systems. IEEE Transactions on Aerospace Electronic Systems. 31(1):1995;390-398.
8. Tsitsiklis J., Athans M. On the complexity of decentralized decision making and detection problems. IEEE Transactions on Automatic Control. 30(5):1985;440-446.
9. Papadimitriou C.H., Tsitsiklis J.N. Intractable problems in control theory. SIAM Journal on Control and Optimization. 24(4):1986;639-654.
10. Safavian S.R., Landgrebe D. A survey of decision tree classifier methodology. IEEE Transactions on Systems, Man and Cybernetics. 21(3):1991;660-674.
11. G.R. Dattatreya, L.N. Kanal, Decision trees in pattern recognition, in: Kanal and Rosenfeld, Progress in Pattern Recognition, Elsevier, Amsterdam, 1985, pp. 189-239.
12. Demirbas K. Distributed sensor data fusion with binary decision trees. IEEE Transactions on Aerospace and Electronic Systems. 25(5):1989;643-649.
13. Dasarathy B.V. Operationally efficient architectures for fusion of binary-decision sensors in multidecision environments. Optical Engineering. 36(3):1997;632-641.
14. X. Zhu, M. Kam, C. Rorres, M-ary hypothesis testing with binary local decisions, in: Proceedings of the Conference on Information Sciences and Systems, March 1998.
15. Basseville M. Distance measures for signal processing and pattern recognition. Signal Processing. 18:1989;349-369.
16. K.C. You, K.S. Fu, An approach to the design of a linear binary tree classifier, in: Proceedings of the Third Symposium on Machine Processing of Remotely Sensed Data, Purdue University, W. Lafayette, IN, 1976.
17. Landeweerd G.H., Timmers T., Gersema E., Bins M., Halic M. Binary tree versus single level tree classification of white blood cells. Pattern Recognition. 16:1983;571-577.
18. Q. Zhang, P.K. Varshney, Optimal decision rules for distributed binary decision tree classifiers, in: Proceedings of the SPIE on Sensor Fusion: Architectures, Algorithms, and Applications IV, vol. 4051, Orlando, FL, April 2000, pp. 14-22.