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Found 7 papers, 1 papers with code
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data Inversion
The reconstruction of the 3D permittivity map from ground-penetrating radar (GPR) data is of great importance for mapping subsurface environments and inspecting underground structural integrity.
DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil Conditions
In the first stage, a U-shape DNN with multi-receptive-field convolutions (MRF-UNet1) is built to remove the clutters due to inhomogeneity of the heterogeneous soil.
SFCW GPR tree roots detection enhancement by time frequency analysis in tropical areas
In high moisture tropical areas such as Singapore, tree fall due to root rot can cause loss of lives and properties.
Estimating Parameters of the Tree Root in Heterogeneous Soil Environments via Mask-Guided Multi-Polarimetric Integration Neural Network
However, the task of estimating root-related parameters is challenging as the root reflection is a complex function of multiple root parameters and root orientations.
The Orientation Estimation of Elongated Underground Objects via Multi-Polarization Aggregation and Selection Neural Network
The horizontal orientation angle and vertical inclination angle of an elongated subsurface object are key parameters for object identification and imaging in ground penetrating radar (GPR) applications.
Compact Dual-Polarized Vivaldi Antenna for Ground Penetrating Radar (GPR) Application
In this paper, a compact dual-polarized Vivaldi antenna is presented.
