References:
[1] Zhang, L. Modern Traffic Information Network and Communication Technology [M]. Shanghai: Tongji University Press, 2007.
     [2] Manzo, C., Mei, A., Salvatori, R., et al. Spectral modelling used to identify the aggregates index of asphalted surfaces and sensitivity analysis [J]. Construction & Building Materials, 2014, 61: 147-155.
     [3] Fu, C. Opportunities and challenges for highway survey and design in the era of big data [D]. Xi’an: Changan University, 2016.
     [4] Estes, J. E., Thorley, G. A. Manual of Remote Sensing-Volume II: Interpretation and Applications [M]. Virginia: American Society of Photogrammetry, 1983: 1955-2109.
     [5] Gardner, M., Roberts, D. A., Funk, C., et al. Road extraction from AVIRIS using spectral mixture and Q-tree filter techniques [C]. Technical Report, May 2001. University of California, Santa Barbara, National Consortium on Remote Sensing and Transportation: Infrastructure, 2001.
     [6] Grote, A., Heipke, C. Road extraction for update of road databases in suburban areas [J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2008, 37(B3b): 563-568.
     [7] Suchandt, S., Runge, H., Breit, H., et al. Automatic extraction of traffic flows using TerraSAR-X along-track interferometry [J]. IEEE Transactions on Geoscience & Remote Sensing, 2010, 48(2): 807-819.
     [8] Buslaev, A., Seferbekov, S., Iglovikov, V., et al. Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery [C]. Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2018.
     [9] She, Y. C., Lin, H., Sun, H. Analysis of hyperspectral characteristics of main road pavement materials [J]. Journal of Central South University of Forestry and Technology, 2014, 34(11): 120-139.
     [10] Jin, X., Zhang, X. F., Luo, L., et al. Analysis of spectral characteristics of highway pavement and preliminary exploration of remote sensing monitoring method for asphalt pavement aging [J]. Journal of Geo-Information Science, 2017, 19(5): 672-681.
     [11] Gao, L. P. Research on road extraction based on airborne LiDAR and high-resolution remote sensing images [D]. Xuzhou: China University of Mining and Technology, 2014.
     [12] Zhang, Y. X., Xu, W., Wang, Y., et al. Discrimination analysis of pavement materials based on spectral characteristics [J]. Journal of Changsha University of Science and Technology (Natural Science Edition), 2017, 14(4): 1-9.
     [13] Lu, P. P., Dai, J. G., Shi, X, Z. Analysis of four typical road spectral characteristics based on hyperspectral remote sensing [J]. Surveying and Mapping and Spatial Geographic Information, 2019, 42(5): 141-144.
     [14] Zhang, X. B., Cheng, R. S., Wang, L. J. Investigation and analysis of the thickness of asphalt pavement on expressways in my country [J]. Henan Communications Science and Technology, 1999(1): 3-5.
     [15] Li, X. P. Make up for the shortcomings and build the "Four Good Rural Roads" [J]. China Highway, 2017(17): 20-25.