References
Citation
To cite PDAL in publications use:
PDAL Contributors, 2020. PDAL Point Data Abstraction Library. doi:10.5281/zenodo.2556737
A BibTeX entry for LaTeX users is
@misc{pdal_contributors_2020_2556737,author = {PDAL Contributors},title = {PDAL Point Data Abstraction Library},month = aug,year = 2020,doi = {10.5281/zenodo.2556737},}
Reference
- Bartels2010
Bartels, Marc, and Hong Wei. “Threshold-free object and ground point separation in LIDAR data.” Pattern recognition letters 31.10 (2010): 1089-1099.
- Breunig2000
Breunig, M.M., Kriegel, H.-P., Ng, R.T., Sander, J., 2000. LOF: Identifying Density-Based Local Outliers. Proc. 2000 Acm Sigmod Int. Conf. Manag. Data 1–12.
- Chen2012
Chen, Ziyue et al. “Upward-Fusion Urban DTM Generating Method Using Airborne Lidar Data.” ISPRS Journal of Photogrammetry and Remote Sensing 72 (2012): 121–130.
- Cook1986
Cook, Robert L. “Stochastic sampling in computer graphics.” ACM Transactions on Graphics (TOG) 5.1 (1986): 51-72.
- Demantke2011
Demantké J., Mallet C., David N., Vallet, B. “Dimensionality Based Scale Selection in 3d LIDAR Point Clouds.” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci, XXXVIII-5/W12, 97-102, 2011
- Dippe1985
Dippé, Mark AZ, and Erling Henry Wold. “Antialiasing through stochastic sampling.” ACM Siggraph Computer Graphics 19.3 (1985): 69-78.
- Ester1996
Ester, Martin, et al. “A density-based algorithm for discovering clusters in large spatial databases with noise.” Kdd. Vol. 96. No. 34. 1996.
- Fischer2010
Fischer, Kaspar, Bernd Gärtner, and Martin Kutz. “Fast Smallest-Enclosing-Ball Computation in High Dimensions.” 26473 (2010): 630–641. Web.
- Guinard2017
Guinard S., Landrieu L. “Weakly Supervised Segmented-Aided Classification of Urban Scenes From 3D LIDAR Point Clouds.” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1/W1, 151-157, 2017
- Kazhdan2006
Kazhdan, Michael, Matthew Bolitho, and Hugues Hoppe. “Poisson surface reconstruction.” Proceedings of the fourth Eurographics symposium on Geometry processing. Vol. 7. 2006.
- Li2012
Li, Wenkai, et al. “A new method for segmenting individual trees from the lidar point cloud.” Photogrammetric Engineering & Remote Sensing 78.1 (2012): 75-84.
- Limberger2015
Limberger, Frederico A., and Manuel M. Oliveira. “Real-Time Detection of Planar Regions in Unorganized Point Clouds.” Pattern Recognition 48.6 (2015): 2043–2053. Web.
- Lloyd1982
Lloyd, Stuart. “Least squares quantization in PCM.” IEEE transactions on information theory 28.2 (1982): 129-137.
- McCool1992
McCool, Michael, and Eugene Fiume. “Hierarchical Poisson disk sampling distributions.” Proceedings of the conference on Graphics interface. Vol. 92. 1992.
- Mesh2009
ALoopingIcon. “Meshing Point Clouds.” MESHLAB STUFF. n.p., 7 Sept. 2009. Web. 13 Nov. 2015.
- Pingel2013
Pingel, Thomas J., Keith C. Clarke, and William A. McBride. “An Improved Simple Morphological Filter for the Terrain Classification of Airborne LIDAR Data.” ISPRS Journal of Photogrammetry and Remote Sensing 77 (2013): 21–30.
- Rusu2008
Rusu, Radu Bogdan, et al. “Towards 3D point cloud based object maps for household environments.” Robotics and Autonomous Systems 56.11 (2008): 927-941.
- Weyrich2004
Weyrich, T et al. “Post-Processing of Scanned 3D Surface Data.” Proceedings of Eurographics Symposium on Point-Based Graphics 2004 (2004): 85–94. Print.
- Yang2020
Yang, Heng, Jingnan Shi, and Luca Carlone, “TEASER: Fast and Certifiable Point Cloud Registraton,” arXiv preprint, arXiv:2001.07715, 2020.
- Zhang2003
Zhang, Keqi, et al. “A progressive morphological filter for removing nonground measurements from airborne LIDAR data.” Geoscience and Remote Sensing, IEEE Transactions on 41.4 (2003): 872-882.
- Zhang2016
Zhang, Wuming, et al. “An easy-to-use airborne LiDAR data filtering method based on cloth simulation.” Remote Sensing 8.6 (2016): 501.