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Hybrid Geometric Similarity and Local Consistency Measure for GPR Hyperbola Detection

  • Evangelos SkartadosEmail author
  • Ioannis Kostavelis
  • Dimitrios Giakoumis
  • Dimitrios Tzovaras
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11754)

Abstract

The recent development of novel powerful sensor topologies, namely Ground Penetrating Radar (GPR) antennas, gave a thrust to the modeling of underground environment. An important step towards underground modelling is the detection of the typical hyperbola patterns on 2D images (B-scans), formulated due to the reflections of underground utilities. This work introduces a soil-agnostic approach for hyperbola detection, starting from one dimensional GPR signals, viz. A-scans, to perform a segmentation of each trace into candidate reflection pulses. Feature vector representations are calculated for segmented pulses through multilevel DWT decomposition. A theoretical geometric model of the corresponding hyperbola pattern is generated on the image plane for all point coordinates of the area under inspection. For each theoretical model, measured pulses that best support it are extracted and are utilized to validate it with a novel hybrid measure. The novel measure simultaneously controls the geometric plausibility of the examined hyperbola model and the consistency of the pulses contributing to this model across all the examined A-scan traces. Implementation details are discussed and experimental evaluation is exhibited on real GPR data.

Keywords

Hyperbola detection GPR imaging Soil agnostic detection 

Notes

Acknowledgment

The work funded by the EU-H2020 funded project “BADGER (RoBot for Autonomous unDerGround trenchless opERations, mapping and navigation)” with GA no: 731968.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Evangelos Skartados
    • 1
    Email author
  • Ioannis Kostavelis
    • 1
  • Dimitrios Giakoumis
    • 1
  • Dimitrios Tzovaras
    • 1
  1. 1.Centre for Research and Technology Hellas, ITIThessalonikiGreece

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