Assessment of asphalt pavement aging condition based on GF-2 high-resolution remote sensing image

Abstract The aging condition of asphalt pavement is a crucial basis for traffic infrastructure evaluation. Due to the long time and high cost required to monitor and identify the aging condition of asphalt pavement, many current studies have focused on the application of satellite remote sensing methods. Based on the previous research results, we used PCI data and GF-2 high-resolution remote sensing images. The experimental results show that the DHI, RHI, and NDHI using GF-2 data can reflect the aging of asphalt pavement to varying degrees. This paper presents an entirely new asphalt pavement aging index, named the New Aging Index (NAI). It can not only perfectly identify the different aging conditions of asphalt pavements, but also has a significant distinguishing effect on the pavement interference information such as shadows and vehicles. NAI combined with GF-2 high-resolution remote sensing images can be used to assess the aging condition of asphalt pavement.