Multisensor data fusion for mine detection

Syama P. Chaudhuri; Alan L. Crandall; Denis M. Reidy

doi:10.1117/12.21624

1 October 1990 Multisensor data fusion for mine detection

Syama P. Chaudhuri, Alan L. Crandall, Denis M. Reidy

Proceedings Volume 1306, Sensor Fusion III; (1990) https://doi.org/10.1117/12.21624
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

This paper demonstrates the advantages of applying raultisensor data fusion techniques for the mine detection and classification problem. It has long been recognized that no single sensor technique is adequate for the detection and classification of the wide spectrum of anti-personnel, anti-vehicle and anti-tank mines currently deployed under an even wider spectrum of battle and geological conditions. The experimental results have indicated that mine detection and classification performance can be greatly enhanced by using an array of complementary sensors whose outputs are fused to extract information not otherwise available from a single sensor.

Citation Download Citation

Syama P. Chaudhuri, Alan L. Crandall, and Denis M. Reidy "Multisensor data fusion for mine detection", Proc. SPIE 1306, Sensor Fusion III, (1 October 1990); https://doi.org/10.1117/12.21624

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