Qiu, Dongwei https://orcid.org/0000-0002-1665-7440
Zhu, Zhengkun https://orcid.org/0000-0002-3003-4143
Wang, Xingyu https://orcid.org/0000-0001-8099-169X
Ding, Keliang https://orcid.org/0000-0002-0633-2298
Wang, Zhaowei https://orcid.org/0009-0004-8565-8326
Shi, Yida https://orcid.org/0009-0001-7738-8176
Niu, Wenyue https://orcid.org/0009-0001-0448-0473
Wan, Shanshan https://orcid.org/0000-0002-3421-4387
Funding for this research was provided by:
Postgraduate Education and Teaching Quality Improvement Project of BUCEA, China (J2023002,J2022005)
National Natural Science Foundation of China (61902016)
BUCEA Postgraduate Innovation Project, China (PG2023119,PG2023086)
Article Title: Multi visual images fusion approach for metro tunnel defects based on saliency optimization of pixel level defect image features
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2023-08-19
Date Accepted: 2023-12-28
Online publication date: 2024-01-04