ROAD CLASSIFICATION AND CONDITION DETERMINATION USING HYPERSPECTRAL IMAGERY

13 citations as recorded by crossref.

1. RETRACTED: Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification Z. Li et al. 10.3390/ijgi8010039
2. Quantifying the Value of Satellite-Based Pavement Monitoring in Partially Observable Stochastic Environments M. Bashar & C. Torres-Machi 10.1061/JCCEE5.CPENG-5108
3. Application of Optical Satellite Data in Pavement Management: Assessing Its Value in Partially Observable Stochastic Environments M. Shahri & S. Kim 10.1061/JPCFEV.CFENG-5062
4. Classification of Road Types using Convolution Neural Network and Continuous Wavelet Transform of Sound Signal C. Lee et al. 10.5050/KSNVE.2023.33.2.141
5. Integration of Field and Laboratory Spectral Data with Multi-Resolution Remote Sensed Imagery for Asphalt Surface Differentiation A. Mei et al. 10.3390/rs6042765
6. Development of spectral indices for roofing material condition status detection using field spectroscopy and WorldView-3 data S. Samsudin et al. 10.1117/1.JRS.10.025021
7. Pavement Crack Detection from Hyperspectral Images Using a Novel Asphalt Crack Index M. Abdellatif et al. 10.3390/rs12183084
8. Reflectance spectroscopy of asphalt pavement under moisture and diesel perturbations: A laboratory study R. Deo et al. 10.1016/j.conbuildmat.2024.135076
9. A heuristics-based method for obtaining road surface type information from mobile lidar for use in network-level infrastructure management S. Neupane & N. Gharaibeh 10.1016/j.measurement.2018.09.015
10. Surface Characteristics of Ageing Asphalt Binder Coupling Thermal Oxidation and Ultraviolet Radiation B. Yang et al. 10.1177/03611981221088583
11. Review on Active and Passive Remote Sensing Techniques for Road Extraction J. Jia et al. 10.3390/rs13214235
12. A New Method for Automated Monitoring of Road Pavement Aging Conditions Based on Recurrent Neural Network X. Chen et al. 10.1109/TITS.2022.3204334
13. Tire Road Friction Coefficient Estimation for Individual Wheel Based on Two Robust PMI Observers and a Multilayer Perceptron S. Tao et al. 10.1109/TVT.2024.3390032