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Remote Sens. 2013, 5(4), 1754-1773; doi:10.3390/rs5041754

Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud Data

Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, Geodeetinrinne 2,FI-02431 Masala, Finland
Author to whom correspondence should be addressed.
Received: 23 January 2013 / Revised: 4 March 2013 / Accepted: 27 March 2013 / Published: 9 April 2013
(This article belongs to the Special Issue Advances in Mobile Laser Scanning and Mobile Mapping)
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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. View Full-Text
Keywords: terrestrial; mobile; laser scanning; data reduction; sampling; distance distribution terrestrial; mobile; laser scanning; data reduction; sampling; distance distribution

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Puttonen, E.; Lehtomäki, M.; Kaartinen, H.; Zhu, L.; Kukko, A.; Jaakkola, A. Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud Data. Remote Sens. 2013, 5, 1754-1773.

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