Pixel‐level multicategory detection of visible seismic damage of reinforced concrete components-Reference-Cited by-同舟云学术

Pixel‐level multicategory detection of visible seismic damage of reinforced concrete components

Published:2021-02-15 Issue:5 Volume:36 Page:620-637
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Miao Zenghui¹,Ji Xiaodong¹,Okazaki Taichiro²,Takahashi Noriyuki³

Affiliation:

1. Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry Department of Civil Engineering Tsinghua University Beijing China

2. Graduate School of Engineering Hokkaido University Sapporo Hokkaido Japan

3. Department of Architecture and Building Science Tohoku University Sendai Miyagi Japan

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12667

Reference60 articles.

1. Enhanced probabilistic neural network with local decision circles: A robust classifier

2. A dynamic ensemble learning algorithm for neural networks

3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

4. Encoder–decoder network for pixel‐level road crack detection in black‐box images

5. Deep learning-based automatic volumetric damage quantification using depth camera

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