Road Extraction Using Airborne LiDAR Data in Mountainous Areas |
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| Authors: | Wang Pu Xing Yanqiu Wang Cheng Xi Xiaohuan Luo Shezhou |
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| Affiliation: | (1.Center for Forest Operations and Environment,Northest Forest University,Harbin 150040,China;;
2.Key Laboratory of Digital Earth Sciences，Institute of Remote Sensing and Digital Earth，Chinese Academy of Sciences，Beijing 100094，China) |
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| Abstract: | Based on the spatial distribution and characteristics of LiDAR points cloud of roads in mountainous areas，an effective method for road extraction from airborne LiDAR data is proposed in this research.First，the morphological filtering method is applied to remove above\|ground points cloud (such as buildings，transmission lines and vegetation etc.).Second，a region growing algorithm with multiple rules is used to extract and optimize the road points cloud.Finally，the road boundaries are located and tracked by using Freeman chain code method.Moreover，the mathematical morphology refining processing is used to extract the central line of mountainous road.The experimental results show that the proposed method is effective to extract road information in mountainous areas，and the completeness，accuracy and quality are 93.87%，93.84％，88.43％，respectively. |
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| Keywords: | LiDAR Point cloud Mountain road Multiple rules Region-growing |
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