How transferable are downward-looking and handheld ground penetrating radar data? Experiments in the context of buried threat detection

Published

Conference Paper

Copyright © 2019 SPIE. In this work we consider the problem of developing algorithms for the automatic detection of buried threats using handheld Ground Penetrating Radar (HH-GPR) data. The development of algorithms for HH-GPR is relatively nascent compared to algorithm development efforts for larger downward-looking GPR (DL-GPR) systems. One of the biggest bottlenecks for the development of algorithms is the relative scarcity of labeled HH-GPR data that can be used for development. Given the similarities between DL-GPR data and HH-GPR data however, we hypothesized that it may be possible to utilize DL-GPR data to support the development of algorithms for HH-GPR. In this work we assess the detection performance of a HH-GPR-based BTD algorithm as we vary the amounts and characteristics of the DL-GPR data included in the development of HH-GPR detection algorithms. The results indicate that supplementing HH-GPR data with DL-GPR does improve performance, especially when including data collected over buried threat locations.

Full Text

Duke Authors

Cited Authors

  • Stump, E; Reichman, D; Collins, LM; Malof, JM

Published Date

  • January 1, 2019

Published In

Volume / Issue

  • 11012 /

Electronic International Standard Serial Number (EISSN)

  • 1996-756X

International Standard Serial Number (ISSN)

  • 0277-786X

International Standard Book Number 13 (ISBN-13)

  • 9781510626898

Digital Object Identifier (DOI)

  • 10.1117/12.2519969

Citation Source

  • Scopus