标题
A research on an improved Unet-based concrete crack detection algorithm
作者
关键词
-
出版物
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
Volume -, Issue -, Pages 147592172094006
出版商
SAGE Publications
发表日期
2020-07-21
DOI
10.1177/1475921720940068
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Encoder-decoder network for pixel-level road crack detection in black-box images
- (2019) Seongdeok Bang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Coupled axial tension-flexure behavior of slender reinforced concrete walls
- (2019) Xiaowei Cheng et al. ENGINEERING STRUCTURES
- Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V
- (2019) Yue Fei et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
- (2018) Hiroya Maeda et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects
- (2018) Yadong Xue et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion
- (2018) Fu-Chen Chen et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning
- (2018) Hyunjun Kim et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
- (2018) Yang Xu et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network
- (2018) Allen Zhang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
- (2018) Xincong Yang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automatic Pavement Crack Detection by Multi-Scale Image Fusion
- (2018) Haifeng Li et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Zernike‐moment measurement of thin‐crack width in images enabled by dual‐scale deep learning
- (2018) FuTao Ni et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- In-Service Condition Assessment of a Long-Span Suspension Bridge Using Temperature-Induced Strain Data
- (2017) Qi Xia et al. Journal of Bridge Engineering
- Identification framework for cracks on a steel structure surface by a restricted Boltzmann machines algorithm based on consumer-grade camera images
- (2017) Yang Xu et al. Structural Control & Health Monitoring
- Automatic Road Crack Detection Using Random Structured Forests
- (2016) Yong Shi et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Identification of sudden stiffness changes in the acceleration response of a bridge to moving loads using ensemble empirical mode decomposition
- (2016) H. Aied et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An innovative methodology for detection and quantification of cracks through incorporation of depth perception
- (2011) Mohammad R. Jahanshahi et al. MACHINE VISION AND APPLICATIONS
- CrackTree: Automatic crack detection from pavement images
- (2011) Qin Zou et al. PATTERN RECOGNITION LETTERS
- Damage detection in an experimental bridge model using Hilbert-Huang transform of transient vibrations
- (2011) Anshuman Kunwar et al. Structural Control & Health Monitoring
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now