Feature analysis for the NIITEK ground-penetrating radar using order-weighted averaging operators for landmine detection

Paul D. Gader; Roopnath Grandhi; Wen-Hsiung Lee; Joseph N. Wilson; Dominic K. C. Ho

doi:10.1117/12.544320

21 September 2004 Feature analysis for the NIITEK ground-penetrating radar using order-weighted averaging operators for landmine detection

Paul D. Gader, Roopnath Grandhi, Wen-Hsiung Lee, Joseph N. Wilson, Dominic K. C. Ho

Author Affiliations +

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.544320
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

An automated methodology for combining Ground Penetrating Radar features from different depths is presented and analyzed. GPR data from the NIITEK system are processed by a depth-dependent, adaptive whitening algorithm. Shape and contrast features, including compactness, solidity, eccentricity, and relative area are computed at the different depths. These features must be combined to make a decision as to the presence of a landmine at a specific location. Since many of the depths contain no useful information and the depths of the mines are unknown, a strategy based on sorting is used. In a previous work, sorted features were combined via a rule-based system. In the current paper, an automated algorithm that builds a decision rule from sets of Ordered Weighted Average (OWA) operators is described. The OWA operator sorts the feature values, weights them, and performs a weighted sum of the sorted values, resulting in a nonlinear combination of the feature values. The weights of the OWA operators are trained off-line in combination with those of a decision-making network and held fixed during testing. The combination of OWA operators and decision-making network is called a FOWA network. The FOWA network is compared to the rule-based method on real data taken from multiple collections at two outdoor test sites.

Citation Download Citation

Paul D. Gader, Roopnath Grandhi, Wen-Hsiung Lee, Joseph N. Wilson, and Dominic K. C. Ho "Feature analysis for the NIITEK ground-penetrating radar using order-weighted averaging operators for landmine detection", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.544320

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