Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud Data

Remote Sensing

Eetu Puttonen¹  Matti Lehtomäki²  Harri Kaartinen²  Lingli Zhu²  Antero Kukko² 

[1] Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, Geodeetinrinne 2, FI-02431 Masala, Finland;

关键词: terrestrial;    mobile;    laser scanning;    data reduction;    sampling;    distance distribution;   

DOI  :  10.3390/rs5041754

来源: mdpi

【 摘 要 】

We introduce and test the performance of two sampling methods that utilize distance distributions of laser point clouds in terrestrial and mobile laser scanning geometries. The methods are leveled histogram sampling and inversely weighted distance sampling. The methods aim to reduce a significant portion of the laser point cloud data while retaining most characteristics of the full point cloud. We test the methods in three case studies in which data were collected using a different terrestrial or mobile laser scanning system in each. Two reference methods, uniform sampling and linear point picking, were used for result comparison. The results demonstrate that correctly selected distance-sensitive sampling techniques allow higher point removal than the references in all the tested case studies.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland