Monitoring Asphalt Pavement Aging and Damage Conditions from Low-Altitude UAV Imagery Based on a CNN Approach

CrackU-net: A novel deep convolutional neural network for pixelwise pavement crack detection

(2020) Ju Huyan et al.   Structural Control & Health Monitoring

An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement

(2020) Ankang Ji et al.   AUTOMATION IN CONSTRUCTION

Encoder-decoder network for pixel-level road crack detection in black-box images

(2019) Seongdeok Bang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network

(2019) Ju Huyan et al.   AUTOMATION IN CONSTRUCTION

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

(2019) Fan Yang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Mapping asphalt pavement aging and condition using multiple endmember spectral mixture analysis in Beijing, China

(2017) Yifan Pan et al.   Journal of Applied Remote Sensing

Recognition of asphalt pavement crack length using deep convolutional neural networks

(2017) Zheng Tong et al.   Road Materials and Pavement Design

Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification

(2017) Xiaobing Han et al.   Remote Sensing

Image Based Techniques for Crack Detection, Classification and Quantification in Asphalt Pavement: A Review

(2016) H. Zakeri et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Comparison of Supervised Classification Techniques for Vision-Based Pavement Crack Detection

(2016) Soroush Mokhtari et al.   TRANSPORTATION RESEARCH RECORD

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

(2015) Christian Koch et al.   ADVANCED ENGINEERING INFORMATICS

Using support vector machines to predict the probability of pavement failure

(2015) Megan R. Schlotjes et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT

Deep Convolutional Neural Networks for Hyperspectral Image Classification

(2015) Wei Hu et al.   Journal of Sensors

Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

(2014) Xueyun Chen et al.   IEEE Geoscience and Remote Sensing Letters

Integration of Field and Laboratory Spectral Data with Multi-Resolution Remote Sensed Imagery for Asphalt Surface Differentiation

(2014) Alessandro Mei et al.   Remote Sensing

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Imaging spectrometry and asphalt road surveys

(2007) Martin Herold et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES