Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification

被引：0
|
作者：
Marasco, Giulia [1 ]
Rosso, Marco M. [1 ]
Aiello, Salvatore [1 ]
Aloisio, Angelo [2 ]
Cirrincione, Giansalvo [3 ]
Chiaia, Bernardino [1 ]
Marano, Giuseppe C. [1 ]
机构：
[1] DISEG, Dipartimento di Ingegneria Strutturale, Edile e Geotecnica, Politecnico di Torino, Corso Duca Degli Abruzzi, 24, Turin,10128, Italy
[2] Università degli Studi dell’Aquila, via Giovanni Gronchi n.18, L’Aquila,67100, Italy
[3] University of Picardie Jules Verne, Lab. LTI, Amiens, France
来源：
Communications in Computer and Information Science | 2022年 / 1600 CCIS卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Fourier transforms
引用
收藏
页码：165 / 176
相关论文
共 50 条
  • [21] Comparison of Deep Learning Models and Various Text Pre-Processing Techniques for the Toxic Comments Classification
    Maslej-Kresnakova, Viera
    Sarnovsky, Martin
    Butka, Peter
    Machova, Kristina
    APPLIED SCIENCES-BASEL, 2020, 10 (23): : 1 - 26
  • [22] A deep learning framework based on improved self-supervised learning for ground-penetrating radar tunnel lining inspection
    Huang, Jian
    Yang, Xi
    Zhou, Feng
    Li, Xiaofeng
    Zhou, Bin
    Lu, Song
    Ivashov, Sergey
    Giannakis, Iraklis
    Kong, Fannian
    Slob, Evert
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2024, 39 (06) : 814 - 833
  • [23] Advances of deep learning applications in ground-penetrating radar: A survey
    Tong, Zheng
    Gao, Jie
    Yuan, Dongdong
    CONSTRUCTION AND BUILDING MATERIALS, 2020, 258 (258)
  • [24] Detection of coal fire by deep learning using ground penetrating radar
    Gao, Rongxiang
    Zhu, Hongqing
    Liao, Qi
    Qu, Baolin
    Hu, Lintao
    Wang, Haoran
    MEASUREMENT, 2022, 201
  • [25] Application of Ground Penetrating Radar in detection of tunnel lining structure fracture and processing measures
    Chen, Qiunan
    Huang, Xiaocheng
    Li, Jianxin
    PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING, PTS. 1-5, 2012, 204-208 : 1318 - 1322
  • [26] Model Test of Ground Penetrating Radar Detection for High Speed Railway Tunnel Lining with Defects
    Liu J.
    Zhang Q.
    Du C.
    Liu Z.
    Zhongguo Tiedao Kexue/China Railway Science, 2021, 42 (05): : 103 - 111
  • [27] Rapid Identification and Location of Defects behind Tunnel Lining Based on Ground-Penetrating Radar
    Lv, Gaohang
    Liu, Jian
    Xie, Quanyi
    Wang, Kang
    Han, Bo
    JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES, 2023, 37 (04)
  • [28] Innovative methods for microplastic characterization and detection: Deep learning supported by photoacoustic imaging and automated pre-processing data
    Han, Kaitai
    Huang, Mengyuan
    Wang, Zhenghui
    Shi, Chaojing
    Wang, Zijun
    Guo, Jialu
    Liu, Wu
    Lei, Lixin
    Guo, Qianjin
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 359
  • [29] A Comprehensive Review on Deep Learning Architecture for Pre-processing of Underwater Images
    Vijayalakshmi M.
    Sasithradevi A.
    SN Computer Science, 5 (5)
  • [30] A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
    Elashmawy, Mohamed Ahmed
    Elamvazuthi, Irraivan
    Ali, Syed Saad Azhar
    Natarajan, Elango
    Paramasivam, Sivajothi
    2020 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS), 2021,
12345