Remote Sens. 2011, 3(3), 638-649; doi:10.3390/rs3030638
Letter

A Comparison of Two Open Source LiDAR Surface Classification Algorithms

1,†,* email, 2,†email, 1email, 3email, 4email, 5email, 1email, 3email and 6email
Received: 20 January 2011; in revised form: 15 February 2011 / Accepted: 9 March 2011 / Published: 22 March 2011
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: With the progression of LiDAR (Light Detection and Ranging) towards a mainstream resource management tool, it has become necessary to understand how best to process and analyze the data. While most ground surface identification algorithms remain proprietary and have high purchase costs; a few are openly available, free to use, and are supported by published results. Two of the latter are the multiscale curvature classification and the Boise Center Aerospace Laboratory LiDAR (BCAL) algorithms. This study investigated the accuracy of these two algorithms (and a combination of the two) to create a digital terrain model from a raw LiDAR point cloud in a semi-arid landscape. Accuracy of each algorithm was assessed via comparison with >7,000 high precision survey points stratified across six different cover types. The overall performance of both algorithms differed by only 2%; however, within specific cover types significant differences were observed in accuracy. The results highlight the accuracy of both algorithms across a variety of vegetation types, and ultimately suggest specific scenarios where one approach may outperform the other. Each algorithm produced similar results except in the ceanothus and conifer cover types where BCAL produced lower errors.
Keywords: LiDAR; algorithm; filtering; DTM; MCC; BCAL
PDF Full-text Download PDF Full-Text [371 KB, uploaded 19 June 2014 00:07 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Tinkham, W.T.; Huang, H.; Smith, A.M.S.; Shrestha, R.; Falkowski, M.J.; Hudak, A.T.; Link, T.E.; Glenn, N.F.; Marks, D.G. A Comparison of Two Open Source LiDAR Surface Classification Algorithms. Remote Sens. 2011, 3, 638-649.

AMA Style

Tinkham WT, Huang H, Smith AMS, Shrestha R, Falkowski MJ, Hudak AT, Link TE, Glenn NF, Marks DG. A Comparison of Two Open Source LiDAR Surface Classification Algorithms. Remote Sensing. 2011; 3(3):638-649.

Chicago/Turabian Style

Tinkham, Wade T.; Huang, Hongyu; Smith, Alistair M. S.; Shrestha, Rupesh; Falkowski, Michael J.; Hudak, Andrew T.; Link, Timothy E.; Glenn, Nancy F.; Marks, Danny G. 2011. "A Comparison of Two Open Source LiDAR Surface Classification Algorithms." Remote Sens. 3, no. 3: 638-649.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert