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Author:

Jingzong, Z. (Jingzong, Z..) | Xiaokang, L. (Xiaokang, L..) | Zhijie, H.E. (Zhijie, H.E..) | Yimin, S. (Yimin, S..) | Hailiang, X. (Hailiang, X..) | Dong, A.N. (Dong, A.N..)

Indexed by:

Scopus

Abstract:

The digital image correlation method is a high precision and non-contact ground deformation monitoring method, which is widely used in surface deformation monitoring. However, according to its principle, different surface characteristics have great influence on the monitoring results. In this paper, a regional digital image slope monitoring method is established to meet the monitoring requirements of different areas of the same slope. Firstly, the features of different regions in the image are identified according to the optical region detection, and then the deformation calculation method is matched according to the features of different regions. Finally, according to the binocular vision principle, the three-dimensional displacement of the slope is obtained. Taking a highway slope in Qinhuangdao as an example, we realised all-weather and full-field deformation monitoring of slope, and verified the applicability and feasibility of regional digital image slope monitoring method. The applicability of digital image correlation method in slope monitoring is improved.

Keyword:

digital image correlation slope monitoring regional features Regionalisation

Author Community:

  • [ 1 ] [Jingzong Z.]47828North China University of Technology, Beijing, China
  • [ 2 ] [Xiaokang L.]47828North China University of Technology, Beijing, China
  • [ 3 ] [Zhijie H.E.]47828North China University of Technology, Beijing, China
  • [ 4 ] [Yimin S.]47828North China University of Technology, Beijing, China
  • [ 5 ] [Hailiang X.]47828North China University of Technology, Beijing, China
  • [ 6 ] [Dong A.N.]47828North China University of Technology, Beijing, China

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Source :

Science progress

ISSN: 2047-7163

Year: 2023

Issue: 2

Volume: 106

Page: 368504231156739-

2 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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