Pavement Crack Detection in Infrared Images Using a DCNN and CCL Algorithm-Reference-Cited by-同舟云学术

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Pavement Crack Detection in Infrared Images Using a DCNN and CCL Algorithm

Published:2023-03-01 Issue:5 Volume:23 Page:4548-4555
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Qiu Dongwei¹^ORCID,Xiao Mingjian¹,Wan Shanshan²^ORCID,Qin Chuan¹,Zhu Zhengkun¹^ORCID

Affiliation:

1. School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China

2. School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10056596/09739034.pdf?arnumber=9739034

Reference25 articles.

1. Automatic detection method of bridge cracks based on residual network

2. Attention-Based Convolutional Neural Network for Pavement Crack Detection

3. Improving the Efficiency of Encoder-Decoder Architecture for Pixel-Level Crack Detection

4. Densely connected deep neural network considering connectivity of pixels for automatic crack detection

5. Bridge Crack Semantic Segmentation Based on Improved Deeplabv3+

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1. Vision based nighttime pavement cracks pixel level detection by integrating infrared visible fusion and deep learning;Construction and Building Materials;2024-09

2. Surface Defect Detection of Industrial Components Based on Improved YOLOv5s;IEEE Sensors Journal;2024-08-01

3. Multiple-type distress detection in asphalt concrete pavement using infrared thermography and deep learning;Automation in Construction;2024-05

4. Vector-Quantized Variational Teacher and Multimodal Collaborative Student Based Knowledge Distillation Paradigm for Cracks Segmentation;2024

5. Vector-Quantized Variational Teacher and Multimodal Collaborative Student for Crack Segmentation Via Knowledge Distillation;2024

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