标题
Pixel-level road crack detection in UAV remote sensing images based on ARD-Unet
作者
关键词
-
出版物
MEASUREMENT
Volume 219, Issue -, Pages 113252
出版商
Elsevier BV
发表日期
2023-06-28
DOI
10.1016/j.measurement.2023.113252
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。- A high-precision forest fire smoke detection approach based on ARGNet
- (2022) Jialei Zhan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- UNet-based model for crack detection integrating visual explanations
- (2022) Fangyu Liu et al. CONSTRUCTION AND BUILDING MATERIALS
- Fast forest fire smoke detection using MVMNet
- (2022) Yaowen Hu et al. KNOWLEDGE-BASED SYSTEMS
- BC-DUnet-based segmentation of fine cracks in bridges under a complex background
- (2022) Tao Liu et al. PLoS One
- Crack fractal analysis of fractured polyethylene fiber reinforced alkali activated mortar under flexural load
- (2022) Li Li et al. CONSTRUCTION AND BUILDING MATERIALS
- CycleADC-Net: A crack segmentation method based on multi-scale feature fusion
- (2022) Yidan Yan et al. MEASUREMENT
- Intelligent crack detection based on attention mechanism in convolution neural network
- (2021) Xiaoning Cui et al. ADVANCES IN STRUCTURAL ENGINEERING
- Pixel-level bridge crack detection using a deep fusion about recurrent residual convolution and context encoder network
- (2021) Gang Li et al. MEASUREMENT
- Pavement distress detection using convolutional neural networks with images captured via UAV
- (2021) Junqing Zhu et al. AUTOMATION IN CONSTRUCTION
- Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features
- (2020) Weidong Song et al. JOURNAL OF ADVANCED TRANSPORTATION
- A research on an improved Unet-based concrete crack detection algorithm
- (2020) Lingxin Zhang et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- RENet: Rectangular convolution pyramid and edge enhancement network for salient object detection of pavement cracks
- (2020) Yanyan Wang et al. MEASUREMENT
- Automatic recognition of surface cracks in bridges based on 2D-APES and mobile machine vision
- (2020) Danhui Dan et al. MEASUREMENT
- A real-time detection approach for bridge cracks based on YOLOv4-FPM
- (2020) Zhenwei Yu et al. AUTOMATION IN CONSTRUCTION
- A fast adaptive crack detection algorithm based on a double-edge extraction operator of FSM
- (2019) Qijun Luo et al. CONSTRUCTION AND BUILDING MATERIALS
- Image-based concrete crack detection in tunnels using deep fully convolutional networks
- (2019) Yupeng Ren et al. CONSTRUCTION AND BUILDING MATERIALS
- 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
- Automatic Pixel-Level Pavement Crack Detection Using Information of Multi-Scale Neighborhoods
- (2018) Dihao Ai et al. IEEE Access
- Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
- (2018) Xincong Yang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automatic Road Crack Detection Using Random Structured Forests
- (2016) Yong Shi et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Sealed-Crack Detection Algorithm Using Heuristic Thresholding Approach
- (2016) Mojtaba Kamaliardakani et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Impact of Traffic Overload on Road Pavement Performance
- (2013) J. C. Pais et al. JOURNAL OF TRANSPORTATION ENGINEERING
- CrackTree: Automatic crack detection from pavement images
- (2011) Qin Zou et al. PATTERN RECOGNITION LETTERS
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