Fuzzy-logic-based sensor fusion for mine and concealed weapon detection

Thomas J. Meitzler; Darryl Bryk; Euijung Sohn; Kimberly Lane; Jyoti Raj; Harpreet Singh

doi:10.1117/12.486955

11 September 2003 Fuzzy-logic-based sensor fusion for mine and concealed weapon detection

Thomas J. Meitzler, Darryl Bryk, Euijung Sohn, Kimberly Lane, Jyoti Raj, Harpreet Singh

Proceedings Volume 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII; (2003) https://doi.org/10.1117/12.486955
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Thomas J. Meitzler, Darryl Bryk, Euijung Sohn, Kimberly Lane, Jyoti Raj, and Harpreet Singh "Fuzzy-logic-based sensor fusion for mine and concealed weapon detection", Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); https://doi.org/10.1117/12.486955

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