Superpixel-based change detection for GPR time-lapse slices using fuzzy c-means and the Markov random field method-Reference-Cited by-同舟云学术

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Superpixel-based change detection for GPR time-lapse slices using fuzzy c-means and the Markov random field method

Published:2023-11 Issue: Volume:141 Page:105369
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Zhou Yimin^ORCID,Lai Wallace W.L.,Zhu Xiaolin

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference30 articles.

1. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods;Achanta;IEEE Trans. Pattern Anal. Mach. Intell.,2012

2. Ground penetrating radar applications, principles, procedures;Annan,2004

3. Vision-based change detection for inspection of tunnel liners;Attard;Autom. Constr.,2018

4. FCM: THE FUZZY c-MEANS CLUSTERING ALGORITHM. In;Bezdek;Comput. Geosci.,1984

5. Urban underground space: Solving the problems of today’s cities;Broere;Tunn. Undergr. Space Technol.,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Characterization of leakage signatures in buried water pipes by ground penetrating radar(GPR) and instantaneous frequency analysis;Tunnelling and Underground Space Technology;2024-11

2. Detecting Underground Pipes and Void Models by GPR 3D Scanner with Unsupervised Semantic Segmentation;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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