The application of hyperspectral remote sensing technology in road surface type recognition， pavement damage assessment and road health monitoring is one of important applications and future trends of remote sensing technology in the field of transportation.We collect alot of spectral data of asphalt concrete， cement concrete， grassland and bare soil four kinds of objects in our study.The original spectral data of the tri later nal parame-ters were nondimensional ized and dimensioned.Finally， the spectral division between four objects was calculated， and the segmentation characteristics of different pavement materials based on spectral characteristics are deeply studied.The results of the study areas follows：(1) Compared with two parameters of all parameters and partial parameters， the principal component analysis is more suitable for the analysis of the parameters of the ground spec-trum.(2) The distinction between two kinds of pavement of asphalt concrete and cement concrete is higher than that of grassland， and the distinction degree between them is lower than that of bare soil， and the distinction degree between two kinds of pavement is also low.(3) The differentiation rules between grassland and other ground features，bare soiland concrete can be selected from the following parameters：the red edge area and amplitude，the three edge position， the ratio of the red to blue edge area， the ratio of the red to yellow edge area， and the difference of the normalized red and blue edge area.The distinction rules between asphalt concrete and cement concrete can be selected from the following parame-ters：red edge area and amplitude， yellow edge area， normalized red and yellow edge area difference.The distinction rules between bare soil and cement concrete need to be obtained by other methods.The results of the study will provide a reference and theoretical reference for hyperspectral remote sensing technology in road recognition research and application.