Segmentation of building roofs from airborne LiDAR point clouds using robust voxel-based region growing

References

• Alexandrov, S. 2014. Geometrical Segmentation of Point Cloud Data by Spectral Analysis. Sankt Augustin Germany: Hochschule Bonn-Rhein-Sieg.
   Google Scholar
• Aljumaily, H., D. F. Laefer, and D. Cuadra. 2015. “Big-Data Approach for Three-Dimensional Building Extraction from Aerial Laser Scanning.” Journal of Computing in Civil Engineering 30 (3): 04015049. doi:10.1061/(ASCE)CP.1943-5487.0000524.
   Web of Science ®Google Scholar
• Aljumaily, H., D. F. Laefer, and D. Cuadra. 2017. “Urban Point Cloud Mining Based on Density Clustering and Mapreduce.” Journal of Computing in Civil Engineering 31: 04017021. doi:10.1061/(ASCE)CP.1943-5487.0000674.
   Google Scholar
• Awrangjeb, M., and C. S. Fraser. 2014. “Automatic Segmentation of Raw Lidar Data for Extraction of Building Roofs.” Remote Sensing 6 (5): 3716–3751. doi:10.3390/rs6053716.
   Web of Science ®Google Scholar
• Chen, D., L. Zhang, J. Li, and R. Liu. 2012. “Urban Building Roof Segmentation from Airborne Lidar Point Clouds.” International Journal of Remote Sensing 33 (20): 6497–6515. doi:10.1080/01431161.2012.690083.
   Web of Science ®Google Scholar
• Chen, D., L. Zhang, P. T. Mathiopoulos, and X. Huang. 2014. “A Methodology for Automated Segmentation and Reconstruction of Urban 3-D Buildings from Als Point Clouds.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (10): 4199–4217. doi:10.1109/JSTARS.2014.2349003.
   Web of Science ®Google Scholar
• Cramer, M. 2010. “The Dgpf-Test on Digital Airborne Camera Evaluation–Overview and Test Design.” Photogrammetrie-Fernerkundung-Geoinformation 2010 (2): 73–82. doi:10.1127/1432-8364/2010/0041.
   Web of Science ®Google Scholar
• Dutta, A., J. Engels, and M. Hahn. 2014. “A Distance-Weighted Graph-Cut Method for the Segmentation of Laser Point Clouds.” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3: 81–88. doi:10.5194/isprsarchives-XL-3-81-2014.
   Google Scholar
• Nurunnabi, A., G. West, and D. Belton. 2015. “Outlier Detection and Robust Normal-Curvature Estimation in Mobile Laser Scanning 3d Point Cloud Data.” Pattern Recognition 48 (4): 1404–1419. doi:10.1016/j.patcog.2014.10.014.
   Web of Science ®Google Scholar
• Oesau, S., F. Lafarge, and P. Alliez. 2014. “Indoor Scene Reconstruction Using Feature Sensitive Primitive Extraction and Graph-Cut.” ISPRS Journal of Photogrammetry and Remote Sensing 90: 68–82. doi:10.1016/j.isprsjprs.2014.02.004.
   Web of Science ®Google Scholar
• Rabbani, T., F. Van Den Heuvel, and G. Vosselmann. 2006. “Segmentation of Point Clouds Using Smoothness Constraint.” International Archives Photogramm Remote Sens Spatial Information Sciences 36 (5): 248–253.
   Google Scholar
• Rusu, R. B., and S. Cousins. 2011. “3d Is Here: Point Cloud Library (PCL).” In Robotics and Automation (ICRA), 2011 IEEE International Conference On, edited by A. Bicchi, Shanghai, 1–4. IEEE. doi:10.1109/ICRA.2011.5980567
   Google Scholar
• Rutzinger, M., F. Rottensteiner, and N. Pfeifer. 2009. “A Comparison of Evaluation Techniques for Building Extraction from Airborne Laser Scanning.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2 (1): 11–20. doi:10.1109/JSTARS.2009.2012488.
   Web of Science ®Google Scholar
• Schnabel, R., R. Wahl, and R. Klein. 2007. “Efficient Ransac for Point-Cloud Shape Detection.” In Computer Graphics Forum. Vol. 26, edited by D. Duke and R. Scopigno, 214–226. Oxford, UK: Blackwell Publishing.
   Google Scholar
• Stein, S., M. Schoeler, J. Papon, and F. Worgotter. 2014. “Object Partitioning Using Local Convexity.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, 304–311. Conference Publishing Services (CPS). doi:10.1109/CVPR.2014.46
   Google Scholar
• Truong-Hong, L., D. F. Laefer, T. Hinks, and H. Carr. 2013. “Combining an Angle Criterion with Voxelization and the Flying Voxel Method in Reconstructing Building Models from Lidar Data.” Computer-Aided Civil and Infrastructure Engineering 28 (2): 112–129. doi:10.1111/mice.2013.28.issue-2.
   Web of Science ®Google Scholar
• Vo, A.-V., L. Truong-Hong, D. Laefer, D. Tiede, S. D’, A. Oleire Oltmanns, M. Baraldi, S. G. Moser, and D. Tuia. 2016. “Processing of Extremely High Resolution Lidar and Rgb Data: Outcome of the 2015 Ieee Grss Data Fusion Contest—Part B: 3-D Contest.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (12): 5560–5575. doi:10.1109/JSTARS.2016.2581843.
   Web of Science ®Google Scholar
• Vo, A.-V., L. Truong-Hong, D. F. Laefer, and M. Bertolotto. 2015. “Octree-Based Region Growing for Point Cloud Segmentation.” ISPRS Journal of Photogrammetry and Remote Sensing 104: 88–100. doi:10.1016/j.isprsjprs.2015.01.011.
   Web of Science ®Google Scholar
• Von Luxburg, U. 2007. “A Tutorial on Spectral Clustering.” Statistics and Computing 17 (4): 395–416. doi:10.1007/s11222-007-9033-z.
   Web of Science ®Google Scholar
• Wang, H., W. Zhang, Y. Chen, M. Chen, and K. Yan. 2015. “Semantic Decomposition and Reconstruction of Compound Buildings with Symmetric Roofs from Lidar Data and Aerial Imagery.” Remote Sensing 7 (10): 13945–13974. doi:10.3390/rs71013945.
   Web of Science ®Google Scholar
• Weinmann, M., B. Jutzi, S. Hinz, and C. Mallet. 2015. “Semantic Point Cloud Interpretation Based on Optimal Neighborhoods, Relevant Features and Efficient Classifiers.” ISPRS Journal of Photogrammetry and Remote Sensing 105: 286–304. doi:10.1016/j.isprsjprs.2015.01.016.
   Web of Science ®Google Scholar
• Xu, B., W. Jiang, J. Shan, J. Zhang, and L. Li. 2015. “Investigation on the Weighted Ransac Approaches for Building Roof Plane Segmentation from Lidar Point Clouds.” Remote Sensing 8 (1): 5. doi:10.3390/rs8010005.
   Web of Science ®Google Scholar
• Zolanvari, S. I., and D. F. Laefer. 2016. “Slicing Method for Curved Façade and Window Extraction from Point Clouds.” ISPRS Journal of Photogrammetry and Remote Sensing 119: 334–346. doi:10.1016/j.isprsjprs.2016.06.011.
   Web of Science ®Google Scholar