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Landmine detection with ground penetrating radar using fuzzy k-nearest neighbors

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3 Author(s)
Frigui, H. ; Dept. of Electr. & Comput. Eng., Memphis Univ., TN USA ; Gader, P. ; Satyanarayana, K.

This paper introduces a system for landmine detection using the sensor data generated by a ground penetrating radar (GPR). The GPR produces a three-dimensional array of intensity values, representing a volume below the surface of the ground. First, a constant false alarm rate (CFAR) detector is used to focus the attention and identify the candidates that resemble mines. Next, we apply a feature extraction algorithm based on projecting the data onto the dominant eigenvectors in the training data. The training signatures are then clustered to identify a few representatives, and a fuzzy k-nearest neighbor rule is used to distinguish true detections from false alarms.

Published in:

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on  (Volume:3 )

Date of Conference:

25-29 July 2004