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Proceedings Paper

2D ground penetrating radar data identification
Author(s): Meltem Ballan; Fikret Gurgen
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Paper Abstract

In this study, a classification method is proposed for a limited amount of ground penetrating radar data, based on a non-parametric approximation to Bayes decision probability. Ground penetrating radar is an electromagnetic sensor that detects objects both on the surface and under the surface. We use these preprocessed data for classification. The proposed study includes data enhancement, two different data reduction method that are PCA and time domain data reduction, a cepstrum analysis to extract feature and decision by k-nearest neighbor (k-NN).

Paper Details

Date Published: 27 April 2000
PDF: 5 pages
Proc. SPIE 4084, Eighth International Conference on Ground Penetrating Radar, (27 April 2000); doi: 10.1117/12.383493
Show Author Affiliations
Meltem Ballan, TUBITAK-MRC (Turkey)
Fikret Gurgen, Bogazici Univ. (Turkey)


Published in SPIE Proceedings Vol. 4084:
Eighth International Conference on Ground Penetrating Radar
David A. Noon; Glen F. Stickley; Dennis Longstaff, Editor(s)

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