GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining

no code implementations • 12 Dec 2019 • Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang

The results have demonstrated that the GPRInvNet is capable of effectively reconstructing complex tunnel lining defects with clear boundaries.

GPR Time Series Analysis

Deep Learning Inversion of Electrical Resistivity Data

no code implementations • 10 Apr 2019 • Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Xu Guo, Lanbo Liu, Peng Jiang

According to the comprehensive qualitative analysis and quantitative comparison, ERSInvNet with tier feature map, smooth constraints, and depth weighting function together achieve the best performance.

Model Selection

Deep-Learning Inversion of Seismic Data

no code implementations • 23 Jan 2019 • Shucai Li, Bin Liu, Yuxiao Ren, Yangkang Chen, Senlin Yang, Yunhai Wang, Peng Jiang

We propose a new method to tackle the mapping challenge from time-series data to spatial image in the field of seismic exploration, i. e., reconstructing the velocity model directly from seismic data by deep neural networks (DNNs).

Seismic Inversion Time Series Analysis