Detection of Asphalt Pavement Potholes and Cracks Based on the Unmanned Aerial Vehicle Multispectral Imagery

Detection of Asphalt Pavement Potholes and Cracks Based on the Unmanned Aerial Vehicle Multispectral Imagery

Asphalt roads are the basic component of a land transportation system, and the quality of asphalt roads will decrease during the use stage because of the aging and deterioration of the road surface. In the end, some road pavement distresses may appear on the road surface, such as the most common pot...

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Bibliographic Details
Main Authors: Yifan Pan, Xianfeng Zhang, Guido Cervone, Liping Yang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial neural network (ANN)
asphalt roads
multispectral imagery
pavement distress
random forest (RF)
support vector machine (SVM)
Online Access:https://ieeexplore.ieee.org/document/8454262/

Internet

https://ieeexplore.ieee.org/document/8454262/

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