Tree trunk inspections using a polarimetric GPR system

Lilong Zou; Livia Lantini; Fabio Tosti; Amir M. Alani

doi:10.1117/12.2599424

12 September 2021 Tree trunk inspections using a polarimetric GPR system

Lilong Zou, Livia Lantini, Fabio Tosti, Amir M. Alani

Proceedings Volume 11863, Earth Resources and Environmental Remote Sensing/GIS Applications XII; 118630Q (2021) https://doi.org/10.1117/12.2599424
Event: SPIE Remote Sensing, 2021, Online Only

Abstract

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 cross-sections.

Conference Presentation

Citation Download Citation

Lilong Zou, Livia Lantini, Fabio Tosti, and Amir M. Alani "Tree trunk inspections using a polarimetric GPR system", Proc. SPIE 11863, Earth Resources and Environmental Remote Sensing/GIS Applications XII, 118630Q (12 September 2021); https://doi.org/10.1117/12.2599424

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