Paper
1 October 1990 Multisensor data fusion for mine detection
Syama P. Chaudhuri, Alan L. Crandall, Denis M. Reidy
Author Affiliations +
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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Sensors

Land mines

Data fusion

Mining

General packet radio service

Ground penetrating radar

Sensor fusion

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