Search Results for author: Senlin Yang

Found 2 papers, 0 papers with code

Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

no code implementations29 Mar 2020 Senlin Yang, Zhengfang Wang, Jing Wang, Anthony G. Cohn, Jia-Qi Zhang, Peng Jiang, Qingmei Sui

This research proposes a Ground Penetrating Radar (GPR) data processing method for non-destructive detection of tunnel lining internal defects, called defect segmentation.

GPR

Deep-Learning Inversion of Seismic Data

no code implementations23 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

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