Road pavement condition mapping and assessment using remote sensing data based on MESMA

9th Symposium of the International Society for Digital Earth

地球科学;计算机科学

Pan, Y.^1 ; Zhang, X.^1 ; Jin, X.^1 ; Yu, H.^1 ; Rao, J.^1 ; Tian, S.^1 ; Luo, L.^2 ; Li, C.^2

Institute of Remote Sensing and Geographic Information System, Peking University, Beijing

100871, China^1

China Transport Telecommunications and Information Center, Beijing

100011, China^2

关键词: Asphalt materials;    Land-cover types;    Multiple endmember spectral mixture analysis;    Pavement condition;    Remote sensing data;    Spatial resolution;    Spectral change;    Spectral signal;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/34/1/012023/pdf
DOI  :  10.1088/1755-1315/34/1/012023

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Remote sensing can be used to monitor changes of asphalt pavement condition because of the spectral change of aged asphalt material. However, owing to coarse spatial resolution of images and the limited width of roads ambient land cover types (e.g. vegetation, buildings, and soil) affect the spectral signal and add significant variability and uncertainty to analysis of road conditions. To overcome this problem, Multiple Endmember Spectral Mixture Analysis (MESMA) was tested to map asphalt pavement condition using WorldView-2 satellite imagery with eight bands spanning from visible to near infrared. Results indicated that MESMA run in a three-endmember model models mixed-pavement pixels well with a low average RMSE (0.01).