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	Road pavement condition mapping and assessment using remote sensing data based on MESMA
	Pan, Y. ; Zhang, X. ; Jin, X. ; Yu, H. ; Rao, J. ; Tian, S. ; Luo, L. ; Li, C.
	2016
英文摘要	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).; EI; 1; 34
语种	英语
出处	9th Symposium of the International Society for Digital Earth, ISDE 2015
DOI标识	10.1088/1755-1315/34/1/012023
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/449503]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Pan, Y.,Zhang, X.,Jin, X.,et al. Road pavement condition mapping and assessment using remote sensing data based on MESMA. 2016-01-01.

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