摘要
定期开展沥青路面老化评估工作,对保证公路交通运输质量有重要意义,而传统地面实测方法难以实现大范围沥青路面老化状况的快速评估。为此,提出一种基于高分辨率卫星遥感影像的大范围沥青路面老化状况快速评估方法。以武汉市经开区路网为研究对象,基于WorldView-3高分卫星遥感影像和实地调查沥青路面光谱数据,通过地面光谱测量分析不同老化程度的沥青路面光谱特征,构建基于沥青路面、非沥青路面及阴影的二端元与三端元混合的MESMA模型,获取沥青路面端元及非沥青路面端元的丰度,进而得到研究区大范围路网沥青路面老化状况分布图。试验结果显示研究区域沥青路面老化早、中和后期面积占比分别为52.23%、35.26%、12.51%,并呈现西部和北部沥青路面老化状况较轻、东部和南部沥青路面老化状况较重的空间分布模式,与实地调查的沥青路面老化等级空间分布一致,表明本方法可快速准确得到大范围路网沥青路面老化状况分布图,为道路网的养护规划提供数据参考与决策支撑。
Regularly conducting aging assessments of asphalt pavements is of great significance for ensuring the quality of highway transportation.However,traditional ground measurement methods make it difficult to achieve rapid evaluation of asphalt pavement aging over large areas.To address this,in the paper,a rapid assessment method for evaluating the aging conditions of large-scale asphalt pavements is proposed based on the high-resolution satellite remote sensing technology.Taking the road network of Wuhan Economic Development Zone as the research object,the spectral characteristics of asphalt pavements with varying degrees of aging are investigated based on high-resolution remote sensing images from World View-3 and field spectral data.A Mixed Endmember Spectral Mixture Analysis(MESMA)model is constructed based on asphalt pavements,non-asphalt pavements,and shadows to obtain the abundance of asphalt and non-asphalt endmembers,thereby generating a distribution map of the aging status of asphalt pavements across the large road network in the study area.The experimental results show that the area proportions of asphalt pavement aging in the research area during the early,middle,and late stages are 52.23%,35.26%,and 12.51%respectively,exhibiting a spatial distribution pattern where the western and northern asphalt pavements show lighter aging conditions,while the eastern and southern asphalt pavements show heavier aging conditions.This spatial distribution is consistent with the aging level distribution obtained from field surveys,indicating that this method can quickly and accurately produce a distribution map of asphalt pavement aging status over large road networks,providing data reference and decision support for road network maintenance planning.
作者
徐乔
姚金玺
余绍淮
余飞
XU Qiao;YAO Jin-xi;YU Shao-huai;YU Fei(CCCC Second Highway Consultants Co.Ltd.,Wuhan 430056,China;CCCC Tunnel and Underground Space Engineering Technology R&D Center,Wuhan 430056,China)
出处
《公路》
北大核心
2025年第12期365-375,共11页
Highway
基金
国家重点研发计划项目,项目编号2023YFB3907105
中交二公院科技研发项目,项目编号KJFZ-2024NZ-042KJ。
关键词
沥青路面
老化评估
卫星遥感
MESMA模型
大范围
asphalt pavement
aging assessment
satellite remote sensing
MESMA model
large-scale
