Tree trunk inspections using a polarimetric GPR system

Zou, Lilong ORCID:, Lantini, Livia ORCID:, Tosti, Fabio ORCID: and Alani, Amir (2021) Tree trunk inspections using a polarimetric GPR system. In: SPIE Remote Sensing 2021, 13-17 Sep 2021, Online event. (In Press)

SPIE-11863-25_v2.pdf - Accepted Version

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In this work, a novel signal processing framework for polarimetric GPR measurements is presented for inspection of tree trunks decay. The framework combines a polarimetric noise filter and an arc-shaped diffraction imaging algorithm. The polarimetric noise filter can increase the signal-to-noise ratio (SNR) of B-scans caused by the bark and the high-loss propriety of the tree trunk based on a 3D Pauli feature vector of the Bragg scattering theory. The arc-shaped diffraction stacking and an imaging aperture are then designed to suppress the effects of the irregular shape of the tree trunk on the signal. The proposed detection scheme is successfully validated with real tree trunk measurements. The viability of the proposed processing framework is demonstrated by the high consistency between the results and the real-truth trunk

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: non-destructive testing (NDT), ground penetrating radar (GPR), tree trunk, polarimetric radar, Bragg Scattering
Subjects: Construction and engineering > Civil and environmental engineering
Construction and engineering > Digital signal processing
Construction and engineering
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Depositing User: Livia Lantini
Date Deposited: 03 Sep 2021 15:00
Last Modified: 07 Sep 2021 10:15


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