Comparison of belief functions and voting method for fusion of mine detection sensors

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4394, Issue 2, 2001, Pages 1011-1022

  Milisavljević, Nada ^a,b   Van Den Broek, Sebastiaan P ^c   Bloch, Isabelle ^b   Schwering, Piet B W ^c   Lensen, Henk A ^c   Acheroy, Marc ^a  

^a ROYAL MILITARY ACADEMY   (Belgium)

^b CNRS   (France)

^c TNO   (Netherlands)

Author keywords

Belief functions; Fusion; Humanitarian mine detection; Voting

Indexed keywords

CAMERAS; DATA ACQUISITION; FUNCTIONS; GROUND PENETRATING RADAR SYSTEMS; INFRARED DEVICES; METAL DETECTORS; SENSOR DATA FUSION;

BELIEF FUNCTIONS; MINE DETECTION SENSORS;

MINING ENGINEERING;

EID: 0035759202     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.445430     Document Type: Article

References (13)

1. W. de Jong, H.A. Lensen, and Y.H.L. Janssen, "Sophisticated Test Facility to Detect Landmines", Proc. SPIE 3710, pp. 1409-1418, Orlando, USA, 1999.
2. N. Milisavljević, "Analysis and Fusion Using Belief Function Theory of Multisensor Data for Close-Range Humanitarian Mine Detection", PhD thesis, ENST, Pads, France, 2001.
3. M.G.J. Breuers, P.B.W. Schwering, and S.P. van den Broek, "Sensor Fusion Algorithms for the Detection of the Land Mines", Proc. SPIE 3710, pp. 1160-1166, Orlando, USA, 1999.
4. F. Cremer, K. Schutte, J.G.M. Schavemaker, and E. den Breejen, "A Comparison of Decision-Level Sensor-Fusion Methods for Anti-Personnel Land-Mine Detection", Information Fusion, accepted for publication.
5. A.L. Klein, "Sensor and Data Fusion Concepts and Applications", SPIE Optical Enginerring Presss, Bellingham, 1993.
6. N. Milisavljević, I. Bloch, and M. Acheroy, "Modeling, Combining and Discounting Mine Detection Sensors within Dempster-Shafer Framework", Proc. SPIE 4038, pp. 1461-1472, Orlando, USA, 2000.
7. N. Milisavljević, I. Bloch, and M. Acheroy, "Characterization of Mine Detection Sensors in Terms of Belief Functions and their Fusion, First Results", Proc. 3rd International Conference on Information Fusion (FUSION 2000) II, pp. ThC3.15-ThC3.22, Paris, France, 2000.
8. G. Shafer, "A Mathematical Theory of Evidence", Princeton University Press, 1976.
9. P. Smets, "Belief Functions: the Disjunctive Rule of Combination and the Generalized Bayesian Theorem", International Journal of Approximate Reasoning 9, pp. 1-35, 1993.
10. I. Bloch, "Some Aspects of Dempster-Shafer Evidence Theory for Classification of Multi-Modality Medical Images Taking Partial Volume Effect into Account", Patten, Recognition Letters 17, pp. 905-919, 1996.
11. M. Roughan and D. McMichael, "Data Fusion for Land-Mine Detection: Data Requirements for Experimental Design", Technical Report to LSOD, DSTO, Cooperative Research Centre for Sensor, Signal and Information Processing, Adelaide, Australia, 1996.
12. N. Milisavljević and M. Acheroy, "An Approach to the Use of the Bayesian Rule in Decision Level Fusion for Multisensor Mine Detection", Proc. Physics in Signal and Image Processing (PSIP'99) Conference, pp. 261-266, Paris, France, 1999.
13. R. Voles, "Confidence in the Assessment and Use of Mine Detection Systems", Proc. IEE Second International Conference on the Detection of Abandoned Landmines, pp. 28-30, Edinburgh, UK, 1998.