ROAD CLASSIFICATION AND CONDITION DETERMINATION USING HYPERSPECTRAL IMAGERY

16 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. https://doi.org/10.3390/ijgi8010039
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3. Application of Optical Satellite Data in Pavement Management: Assessing Its Value in Partially Observable Stochastic Environments M. Shahri & S. Kim https://doi.org/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. https://doi.org/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. https://doi.org/10.3390/rs6042765
6. Assessment of Asphalt Pavement Skid Resistance Using Ground-Based and UAV-Based Hyperspectral Synergy Q. Xia et al. https://doi.org/10.3390/drones10030209
7. Development of spectral indices for roofing material condition status detection using field spectroscopy and WorldView-3 data S. Samsudin et al. https://doi.org/10.1117/1.JRS.10.025021
8. Pavement Crack Detection from Hyperspectral Images Using a Novel Asphalt Crack Index M. Abdellatif et al. https://doi.org/10.3390/rs12183084
9. Hyperspectral assessment of road pavement condition using machine learning: a comparative study with EnMAP and PRISMA data H. Haghighi et al. https://doi.org/10.1080/01431161.2026.2637846
10. Reflectance spectroscopy of asphalt pavement under moisture and diesel perturbations: A laboratory study R. Deo et al. https://doi.org/10.1016/j.conbuildmat.2024.135076
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16. Tire Road Friction Coefficient Estimation for Individual Wheel Based on Two Robust PMI Observers and a Multilayer Perceptron S. Tao et al. https://doi.org/10.1109/TVT.2024.3390032