随着公路建设的发展，路面材料变得更加多元化。利用高光谱监测不同性质的路面材料，非常值得关注。本研究采用美国ASD公司生产的地物波谱辐射仪（波段范围350～2500 nm），开展了对沥青、混凝土、裸土和草地等典型路面材料的高光谱数据的野外观测，利用光谱均值、一阶微分、二阶微分、倒数后对数等方法，对原始光谱数据进行变换，得到4种材料的光谱特征曲线图，并进行对比和分析。结果表明：在多种数据变换方法中，倒数后对数方法最好，利用高光谱遥感方法能实现对不同路面材料的分类和识别，说明高光谱遥感技术能实现对道路材料和结构的监测。%With the development of highway construction, the types of pavement materials became more diversiifed. Hyper-spectral monitoring of pavement materials of different nature is very concerned. By using ground object spectrum radiometer (wavelength range 350~2500nm) made by United States ASD Corporation, the ifeld observations of hyper-spectral data of the typical pavement materials such as asphalt, concrete, bare soil and grassland etc. were carried out, and then by using the methods of spectral mean value, ifrst order differential, second order differentiation and ifrst calculate reciprocal then logarithm etc., the original spectral data were transformed, thus obtaining four kinds of materials’ spectral characteristics curves, ifnally the obtained results were compared and analyzed. The results show that among the multiple data transformation methods, the method“ifrst calculate reciprocal then logarithm”is the best, the hyper-spectral remote sensing method used can realized the classiifcation and identiifcation to different highway pavement materials. Therefore, the traditional ifeld measurements can be replaced by hyper-spectral remote sensing for real-time monitoring in highway pavement quality and structure.
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