27 April 2000 2D ground penetrating radar data identification
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Proceedings Volume 4084, Eighth International Conference on Ground Penetrating Radar; (2000) https://doi.org/10.1117/12.383493
Event: 8th International Conference on Ground Penetrating Radar, 2000, Gold Coast, Australia
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).
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Meltem Ballan, Fikret Gurgen, "2D ground penetrating radar data identification", Proc. SPIE 4084, Eighth International Conference on Ground Penetrating Radar, (27 April 2000); doi: 10.1117/12.383493; https://doi.org/10.1117/12.383493
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