An entropy-based filtering approach for airborne laser scanning data

作者：Zeng, Zhe; Wan, Jiaxin; Liu, Hui^*

来源：Infrared Physics & Technology, 2016, 75: 87-92.

DOI：10.1016/j.infrared.2015.12.021

• DEM
• LiDAR point clouds
• Filtering
• Entropy optimization

Parameter-tuning is a challenging task when generating digital terrain models from airborne laser scanning (light detection and ranging, LiDAR) data. To address this issue, this paper presents a filtering method for near-infrared laser scanning data that exploits the principle of entropy maximization as the optimization objective. The proposed approach generates ground elevation of point cloud by constructing a triangulated irregular network, calculates the entropy of the elevation from different parts, and automatically separates ground and non-ground points by the principle of entropy maximization. Experimental results from different ground surfaces show that the proposed entropy-based filtering method can effectively extract bare-earth points from the point cloud without adjusting thresholds.

• 出版日期2016-3
• 单位东华理工大学; 厦门大学; 中国石油大学（北京）