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
  • [1] Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects' Automated Classification
    Marasco, Giulia
    Rosso, Marco M.
    Aiello, Salvatore
    Aloisio, Angelo
    Cirrincione, Giansalvo
    Chiaia, Bernardino
    Marano, Giuseppe C.
    ENGINEERING APPLICATIONS OF NEURAL NETWORKS, EAAAI/EANN 2022, 2022, 1600 : 165 - 176
  • [2] Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing
    Rosso, Marco Martino
    Aloisio, Angelo
    Randazzo, Vincenzo
    Tanzi, Leonardo
    Cirrincione, Giansalvo
    Marano, Giuseppe Carlo
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2024, 31 (02) : 213 - 232
  • [3] Application of a Combined Denoising Method in Ground Penetrating Radar Signal Pre-processing
    Xu, Dingjie
    Wu, Yuxuan
    Shen, Feng
    2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA), 2019, : 203 - 207
  • [4] Pre-processing of ground penetrating impulse radar data for improved detection capability
    Brunzell, H
    IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 1478 - 1480
  • [5] Ground-Penetrating Radar Detection of the Defects in Tunnel Lining
    Liu, Yonghe
    Wu, Dingyan
    Wang, Junxing
    ADVANCES IN STRUCTURES, PTS 1-5, 2011, 163-167 : 3794 - 3797
  • [6] Facial Image Pre-Processing and Emotion Classification: A Deep Learning Approach
    Navaz, Alramzana Nujum
    Adel, Serhani Mohamed
    Mathew, Sujith Samuel
    2019 IEEE/ACS 16TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA 2019), 2019,
  • [7] Defects identification and location of underground space for ground penetrating radar based on deep learning
    Hu, Haobang
    Fang, Hongyuan
    Wang, Niannian
    Ma, Duo
    Dong, Jiaxiu
    Li, Bin
    Di, Danyang
    Zheng, Hongbiao
    Wu, Jiang
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2023, 140
  • [8] Pre-processing techniques to enhance the classification of lung sounds based on deep learning
    Fava, Alessandra
    Dianat, Behnood
    Bertacchini, Alessandro
    Manfredi, Andreina
    Sebastiani, Marco
    Modena, Marco
    Pancaldi, Fabrizio
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 92
  • [9] Comparison of augmentation and pre-processing for deep learning and chemometric classification of infrared spectra
    Blazhko, Uladzislau
    Shapaval, Volha
    Kovalev, Vassili
    Kohler, Achim
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2021, 215
  • [10] DETECTION AND ANALYSIS OF TUNNEL DEFECTS WITH GROUND PENETRATING RADAR AT ZHANGWU MOUNTAIN
    Qi, Falin
    He, Shaohui
    Cao, Ruilang
    Ma, Teng
    CONSTRUCTION AND MAINTENANCE OF RAILWAY INFRASTRUCTURE IN COMPLEX ENVIRONMENT, 2014, : 586 - 590
12345