| contributor author | Zhao, Liang | |
| contributor author | Tang, Luyi | |
| contributor author | Liu, Shipeng | |
| contributor author | Song, Zhanping | |
| contributor author | Chen, Dengfeng | |
| contributor author | Liu, Naifei | |
| date accessioned | 2026-08-20T21:25:18Z | |
| date available | 2026-08-20T21:25:18Z | |
| date copyright | 2025/08/19 | |
| date issued | 2025 | |
| identifier other | JCCEE5.CPENG-6731.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314424 | |
| description abstract | AbstractGround-penetrating radar (GPR) has become a standard tool for nondestructive evaluation
of tunnel lining. Nevertheless, signal noise can lead to blurred images or artifacts,
reducing the ability to distinguish between different types of defects ... | |
| publisher | American Society of Civil Engineers | |
| title | Multimodal Fusion of Ground-Penetrating Radar Signals and Images for Tunnel Lining Defects Detection | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 6 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6731 | |
| journal fristpage | 04025098-1 | |
| journal lastpage | 04025098-15 | |
| page | 15 | |
| tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006 | |
| contenttype | Fulltext | |
