Direction-Aware and Expert-Inspired Learning for Internal Crack Size Detection Using On-Site GPR Data

Yiming Zhang; Zheng Tong; Weiguang Zhang

doi:https://doi.org/10.5194/egusphere-egu26-4383

[Back] [Session GI5.2]

EGU26-4383, updated on 13 Mar 2026

https://doi.org/10.5194/egusphere-egu26-4383

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Direction-Aware and Expert-Inspired Learning for Internal Crack Size Detection Using On-Site GPR Data

Yiming Zhang¹, Zheng Tong², and Weiguang Zhang³

Yiming Zhang et al.

¹School of Transportation, Southeast University, Nanjing, China (ym_zhang@seu.edu.cn)
²School of Transportation, Southeast University, Nanjing, China (tongzheng@seu.edu.cn)
³School of Transportation, Southeast University, Nanjing, China (wgzhang@seu.edu.cn)

How to cite: Zhang, Y., Tong, Z., and Zhang, W.: Direction-Aware and Expert-Inspired Learning for Internal Crack Size Detection Using On-Site GPR Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4383, https://doi.org/10.5194/egusphere-egu26-4383, 2026.

This abstract has been withdrawn after no-show on 11 Aug 2026.