中国矿业大学主页平台系统 zhangjun--Home-- Ground Crack Recognition Based on Fully Convolutional Network with Multi-Scale Input

中文

章俊

No content

Paper Publications Current position: Home > Scientific Research > Paper Publications

Ground Crack Recognition Based on Fully Convolutional Network with Multi-Scale Input

Release time:2023-08-16 Hits:

DOI number:10.1109/ACCESS.2020.2981370
Funded by:国家自然科学基金项目
First Author:Cheng, Jian
Co-author:Ye, Liang,郭一楠,zhangjun,An, Hongbo
Indexed by:Journal paper
Document Code:5b5bb29476947f210176949cc204001f
Volume:v 8,p53034-53048
Translation or Not:no
Date of Publication:2020-01-01

Pre One: Detection of urban underground cavities using seismic scattered waves: a case study along the Xuzhou Metro Line 1 in China

Next One: Application of Cross-borehole Integrated Geophysical Methods to Detailed Investigation of the Karst in the Urban Metro Construction