Search Results for author: Daniël Reichman

Found 1 papers, 0 papers with code

On Choosing Training and Testing Data for Supervised Algorithms in Ground Penetrating Radar Data for Buried Threat Detection

no code implementations11 Dec 2016 Daniël Reichman, Leslie M. Collins, Jordan M. Malof

Training data most often consists of 2-dimensional images (or patches) of GPR data, from which features are extracted, and provided to the classifier during training and testing.

GPR Landmine

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