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author:

Shen, Sheng (Shen, Sheng.) [1] | Zeng, Yamian (Zeng, Yamian.) [2] | Lai, Changqin (Lai, Changqin.) [3] | Jiang, Shaofei (Jiang, Shaofei.) [4] | Wu, Shaofen (Wu, Shaofen.) [5] | Ma, Shenglan (Ma, Shenglan.) [6]

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Abstract:

Three-dimensional (3-D) reconstruction based on sonar imaging is an intuitive and comprehensible form for describing an underwater defective pile. Most existing 3-D reconstruction methods are inefficient as they require the extraction of numerous feature points from many sonar images. A rapid 3-D reconstruction method for underwater defective piles based on two-dimensional (2-D) images obtained using mechanically scanned imaging sonar (MSIS) is proposed herein. First, the correspondences between the geometric features of MSIS images and actual defects are established based on the mapping relationship between actual object and MSIS image. Subsequently, no more than three feature points are extracted from 2-D MSIS images to recognize the contour segments. The contour segments are assembled into the entire cross section and then into the entire defective pile. The applicability of the proposed method is verified via a 3-D reconstruction for a scaled-down pile with multiple defect distributions. © 2023 Sheng Shen et al.

Keyword:

Defects Image reconstruction Piles Sonar Underwater acoustics Underwater imaging

Community:

  • [ 1 ] [Shen, Sheng]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Zeng, Yamian]College of Civil Engineering, Quanzhou University of Information Engineering, Quanzhou; 362008, China
  • [ 3 ] [Lai, Changqin]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Jiang, Shaofei]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Wu, Shaofen]Fujian Expressway Science & Technology Innovation Research Institute Co. Ltd., Fuzhou; 350013, China
  • [ 6 ] [Ma, Shenglan]Fujian Provincial Key Laboratory of Advanced Technology and Informatization in Civil Engineering, Fujian University of Technology, Fuzhou; 350118, China

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Source :

Structural Control and Health Monitoring

ISSN: 1545-2255

Year: 2023

Volume: 2023

4 . 6

JCR@2023

4 . 6 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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