Search Results for author: Qiqi Dai

Found 4 papers, 1 papers with code

3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data Inversion

1 code implementation • 9 May 2023 • Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel

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.

3D Reconstruction Decoder +2

Paper
Code

A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects

no code implementations • 13 Jul 2022 • Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Jiwei Qian, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel

To alleviate the computational burden, a deep learning-based 2D GPR forward solver is proposed to predict the GPR B-scans of subsurface objects buried in the heterogeneous soil.

Decoder GPR +1

Paper
Add Code

DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil Conditions

no code implementations • 16 May 2022 • Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel

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.

GPR

Paper
Add Code

Estimating Parameters of the Tree Root in Heterogeneous Soil Environments via Mask-Guided Multi-Polarimetric Integration Neural Network

no code implementations • 27 Dec 2021 • Hai-Han Sun, Yee Hui Lee, Qiqi Dai, Chongyi Li, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel

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.

GPR

Paper
Add Code

Cannot find the paper you are looking for? You can Submit a new open access paper.