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Proceedings Paper

Fuzzy-logic-based sensor fusion for mine and concealed weapon detection
Author(s): Thomas J. Meitzler; Darryl Bryk; Euijung Sohn; Kimberly Lane; Jyoti Raj; Harpreet Singh
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Paper Abstract

The use of near, mid wavelength and long wavelength infrared imagery for the detection of mines and concealed weapons is demonstrated using several techniques. The fusion algorithms used are wavelet based fusion and Fuzzy Logic Approach (FLA) fusion. The FLA is presented as one of several possible methods for combining images from different sensors for achieving an image that displays more information than either image separately. Metrics are suggested that could rate the fidelity of the fused images, such as, an entropy metric.

Paper Details

Date Published: 11 September 2003
PDF: 10 pages
Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); doi: 10.1117/12.486955
Show Author Affiliations
Thomas J. Meitzler, U.S. Army Tank-Automotive and Armaments Command (United States)
Darryl Bryk, U.S. Army Tank-Automotive and Armaments Command (United States)
Euijung Sohn, U.S. Army Tank-Automotive and Armaments Command (United States)
Kimberly Lane, U.S. Army Tank-Automotive and Armaments Command (United States)
Jyoti Raj, Wayne State Univ. (United States)
Harpreet Singh, Wayne State Univ. (United States)


Published in SPIE Proceedings Vol. 5089:
Detection and Remediation Technologies for Mines and Minelike Targets VIII
Russell S. Harmon; John H. Holloway; J. T. Broach, Editor(s)

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