Nondestructive Inspection of Tree Trunks Using a Dual-Polarized Ground-Penetrating Radar System

Zou, Lilong ORCID: https://orcid.org/0000-0002-5109-4866, Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937 and Alani, Amir (2022) Nondestructive Inspection of Tree Trunks Using a Dual-Polarized Ground-Penetrating Radar System. IEEE Transactions on Geoscience and Remote Sensing. (In Press)

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Abstract

In recent years, trees in European countries have been increasingly endangered by emerging infectious diseases (EIDs). In the United Kingdom, this has been observed to affect whole woodlands and forests, threatening the existence of some types of trees. Although quarantine measures have been taken to limit the spreading of such diseases, this has not yet been effectively controlled leading to millions of trees affected by EIDs. Ground-penetrating radar (GPR) has proven effective in identifying critical features on diseased trees for detection of EIDs spread. However, the irregular shape of tree trunks and their complex internal structure represent real challenges for conventional GPR measurements and signal processing methodologies. In this research, a dual-polarised GPR system is used to detect internal decay in tree trunks using novel signal processing methodologies. A polarisation correlation filter based on Bragg Scattering on a 3D Pauli feature vector and an arc-shaped Kirchhoff migration are discussed in detail. The proposed polarisation correlation filter is utilised to enhance the signal-to-noise ratio (SNR) of B-scans due to bark and tree trunk high-loss properties of tree trunks. Meanwhile, an arc-shaped Kirchhoff migration algorithm is performed to counteract the influence of the bark irregularity. The proposed data processing framework is successfully validated with measurements on a real tree trunk, where cross-sections were subsequently cut for comparison purposes. Outcomes from the proposed methodology demonstrate a high consistency with the features observed on the tree trunk cross-sections, indicating the reliability of the proposed detection scheme for assessing tree-decay associated with EIDs.

Item Type: Article
Identifier: doi10.1109/TGRS.2022.3184169
Subjects: Construction and engineering > Civil and environmental engineering
Related URLs:
Depositing User: Lilong Zou
Date Deposited: 15 Sep 2022 18:40
Last Modified: 15 Sep 2022 18:40
URI: https://repository.uwl.ac.uk/id/eprint/9384

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