| contributor author | Li, Jia-Huan | |
| contributor author | Zhu, Li | |
| contributor author | Zhu, Yao-Yu | |
| contributor author | Su, Ray Kai-Leung | |
| date accessioned | 2026-08-20T12:22:32Z | |
| date available | 2026-08-20T12:22:32Z | |
| date copyright | 2025/08/22 | |
| date issued | 2025 | |
| identifier other | JSENDH.STENG-14884.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313411 | |
| description abstract | AbstractIn contrast with traditional procedures, computer vision–based approaches to the noncontact
measurement of structural vibration displacement offer the benefits of convenience,
efficiency, and dense sensing. These approaches provide comprehensive ... | |
| publisher | American Society of Civil Engineers | |
| title | Noncontact Structural Vibration Displacement Measurement Using Deep Learning–Based Optical Flow Estimation | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 11 | |
| journal title | Journal of Structural Engineering | |
| identifier doi | 10.1061/JSENDH.STENG-14884 | |
| journal fristpage | 04025177-1 | |
| journal lastpage | 04025177-21 | |
| page | 21 | |
| tree | Journal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 011 | |
| contenttype | Fulltext | |
