Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI 2016
DOI: 10.1117/12.2223738
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A label propagation approach for detecting buried objects in handheld GPR data

Abstract: Detection of buried landmines and other explosive objects using ground penetrating radar (GPR) has been investigated for almost two decades and several classifiers have been developed. Most of these methods are based on the supervised learning paradigm where labeled target and clutter signatures are needed to train a classifier to discriminate between the two classes. Typically, large and diverse labeled training samples are needed to improve the performance of the classifier by overcoming noise and adding rob… Show more

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