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High-Resolution Coherency Functionals for Improving the Velocity Analysis of Ground-Penetrating Radar Data

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (13), p.2146 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12132146

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  • Title:
    High-Resolution Coherency Functionals for Improving the Velocity Analysis of Ground-Penetrating Radar Data
  • Author: Stucchi, Eusebio ; Ribolini, Adriano ; Tognarelli, Andrea
  • Subjects: Algorithms ; Archaeology ; Coherence ; coherency functionals ; Computer simulation ; Data analysis ; Datasets ; Diffraction ; Excavation ; GPR data migration ; GPR data processing ; Ground penetrating radar ; High resolution ; Historic buildings & sites ; Hyperbolas ; Noise ; Polls & surveys ; Propagation ; Radar ; Radar data ; Receivers & amplifiers ; Signal processing ; Signal to noise ratio ; Target detection ; Target recognition ; Velocity ; velocity analysis ; Velocity distribution
  • Is Part Of: Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (13), p.2146
  • Description: We aim at verifying whether the use of high-resolution coherency functionals could improve the signal-to-noise ratio (S/N) of Ground-Penetrating Radar data by introducing a variable and precisely picked velocity field in the migration process. After carrying out tests on synthetic data to schematically simulate the problem, assessing the types of functionals most suitable for GPR data analysis, we estimated a varying velocity field relative to a real dataset. This dataset was acquired in an archaeological area where an excavation after a GPR survey made it possible to define the position, type, and composition of the detected targets. Two functionals, the Complex Matched Coherency Measure and the Complex Matched Analysis, turned out to be effective in computing coherency maps characterized by high-resolution and strong noise rejection, where velocity picking can be done with high precision. By using the 2D velocity field thus obtained, migration algorithms performed better than in the case of constant or 1D velocity field, with satisfactory collapsing of the diffracted events and moving of the reflected energy in the correct position. The varying velocity field was estimated on different lines and used to migrate all the GPR profiles composing the survey covering the entire archaeological area. The time slices built with the migrated profiles resulted in a higher S/N than those obtained from non-migrated or migrated at constant velocity GPR profiles. The improvements are inherent to the resolution, continuity, and energy content of linear reflective areas. On the basis of our experience, we can state that the use of high-resolution coherency functionals leads to migrated GPR profiles with a high-grade of hyperbolas focusing. These profiles favor better imaging of the targets of interest, thereby allowing for a more reliable interpretation.
  • Publisher: Basel: MDPI AG
  • Language: English
  • Identifier: ISSN: 2072-4292
    EISSN: 2072-4292
    DOI: 10.3390/rs12132146
  • Source: Open Access: DOAJ Directory of Open Access Journals
    AUTh Library subscriptions: ProQuest Central
    ROAD: Directory of Open Access Scholarly Resources
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