Refinement of ALS point cloud through the assessment of bare-earth classification algorithms: the AYPONA Project case study

Authors

  • François-Xavier Simon
  • Alfredo M. Pascual
  • Franck Vautier
  • Yannick Miras

Keywords:

ALS, point cloud processing, freeware, Celtic oppidum

Abstract

No

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References

Evans, J.S., Hudak, A.T. 2007. A multiscale curvature algorithm for classifying discrete return LiDAR in forested environments, Geoscience remote sensing IEEE transactions on, 45,1029–1038, doi:10.1109/TGRS.2006.890412
Lugmayer-Klimczyk, A., Fera, M., Doneus, M., Briese, C., Pfeifer, N. 2014. Clearing the wood-evaluation of different software packages for ALS filtering. Presented at the CAA 2014: Computer Applications and Quantitative Methods in Archaeology, Paris
Poux, M. 2014. Enlarging oppida: Multipoalr Town Patterns in Late Iron Age Gaul. In M. Fernandez-Gotz, H. Wendling, K. Winger (eds), Paths to Complexity, Oxford, 157–167
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. 2011. A Comparison of Two Open Source LiDAR Surface Classification Algorithms, Remote Sensing 3,638–649
Vosselman, G. 2000. Slope based filtering of laster altimetry data, IAPRS 38 (B3), Amsterdam, 935-942

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Published

2015-01-01

How to Cite

Simon, F.-X., Pascual, A. M., Vautier, F., & Miras, Y. (2015). Refinement of ALS point cloud through the assessment of bare-earth classification algorithms: the AYPONA Project case study. Archaeologia Polona, 53, 578–581. Retrieved from https://journals.iaepan.pl/apolona/article/view/406

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