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Research Article

Detecting vertices of building roofs from ALS point cloud data

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Pages 4811-4830 | Received 20 Sep 2023, Accepted 08 Nov 2023, Published online: 19 Nov 2023

References

  • Awrangjeb, M., C. Zhang, and C. S. Fraser. 2013. “Automatic Extraction of Building Roofs Using LIDAR Data and Multispectral Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 83 (September): 1–18. https://doi.org/10.1016/j.isprsjprs.2013.05.006.
  • Cao, R., Y. Zhang, X. Liu, and Z. Zhao. 2017. “3D Building Roof Reconstruction from Airborne LiDAR Point Clouds: A Framework Based on a Spatial Database.” International Journal of Geographical Information Science 31 (7): 1359–1380. https://doi.org/10.1080/13658816.2017.1301456.
  • Chen, H., W. Chen, R. Wu, and Y. Huang. 2021. “Plane Segmentation for a Building Roof Combining Deep Learning and the RANSAC Method from a 3D Point Cloud.” Journal of Electronic Imaging 30 (5): 053022. https://doi.org/10.1117/1.JEI.30.5.053022.
  • Chen, D., R. Wang, and J. Peethambaran. 2017. “Topologically Aware Building Rooftop Reconstruction From Airborne Laser Scanning Point Clouds.” IEEE Transactions on Geoscience and Remote Sensing 55 (12): 7032–7052. https://doi.org/10.1109/TGRS.2017.2738439.
  • Dey, E. K., M. Awrangjeb, F. Tarsha Kurdi, and B. Stantic. 2023. “Machine Learning-Based Segmentation of Aerial LiDAR Point Cloud Data on Building Roof.” European Journal of Remote Sensing 56 (1): 2210745. https://doi.org/10.1080/22797254.2023.2210745.
  • Gröger, G., T. H. Kolbe, C. Nagel, and K.-H. Häfele. 2012. “OGC City Geography Markup Language (CityGML) Encoding Standard.”.
  • Huang, H., C. Brenner, and M. Sester. 2013. “A Generative Statistical Approach to Automatic 3D Building Roof Reconstruction from Laser Scanning Data.” ISPRS Journal of Photogrammetry and Remote Sensing 79 (May): 29–43. https://doi.org/10.1016/j.isprsjprs.2013.02.004.
  • Huang, J., J. Stoter, R. Peters, and L. Nan. 2022. “City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds.” Remote Sensing 14 (9): 2254. https://doi.org/10.3390/rs14092254.
  • Jarząbek-Rychard, M., and A. Borkowski. 2016. “3D Building Reconstruction from ALS Data Using Unambiguous Decomposition into Elementary Structures.” ISPRS Journal of Photogrammetry and Remote Sensing 118 (August): 1–12. https://doi.org/10.1016/j.isprsjprs.2016.04.005.
  • Kim, K., and J. Shan. 2011. “Building Roof Modeling from Airborne Laser Scanning Data Based on Level Set Approach.” ISPRS Journal of Photogrammetry and Remote Sensing 66 (4): 484–497. https://doi.org/10.1016/j.isprsjprs.2011.02.007.
  • Kutzner, T., K. Chaturvedi, and T. H. Kolbe. 2020. “CityGML 3.0: New Functions Open Up New Applications.” PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science 88 (1): 43–61. https://doi.org/10.1007/s41064-020-00095-z.
  • Kwak, E., and A. Habib. 2014. “Automatic Representation and Reconstruction of DBM from LiDAR Data Using Recursive Minimum Bounding Rectangle.” ISPRS Journal of Photogrammetry and Remote Sensing 93 (July): 171–191. https://doi.org/10.1016/j.isprsjprs.2013.10.003.
  • Li, Zhixin, and J. Shan. 2022. “RANSAC-Based Multi Primitive Building Reconstruction from 3D Point Clouds.” ISPRS Journal of Photogrammetry and Remote Sensing 185 (March): 247–260. https://doi.org/10.1016/j.isprsjprs.2021.12.012.
  • Li, L., N. Song, F. Sun, X. Liu, R. Wang, J. Yao, and S. Cao. 2022. “Point2Roof: End-to-End 3D Building Roof Modeling from Airborne LiDAR Point Clouds.” ISPRS Journal of Photogrammetry and Remote Sensing 193 (November): 17–28. https://doi.org/10.1016/j.isprsjprs.2022.08.027.
  • Li, Z., B. Xu, and J. Shan. 2019. “GEOMETRIC OBJECT BASED BUILDING RECONSTRUCTION FROM SATELLITE IMAGERY DERIVED POINT CLOUDS.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June): 73–78. https://doi.org/10.5194/isprs-archives-XLII-2-W13-73-2019.
  • Maas, H.-G., and G. Vosselman. 1999. “Two Algorithms for Extracting Building Models from Raw Laser Altimetry Data.” ISPRS Journal of Photogrammetry and Remote Sensing 54 (2–3): 153–163. https://doi.org/10.1016/S0924-2716(99)00004-0
  • Nan, L., and P. Wonka. 2017. “PolyFit: Polygonal Surface Reconstruction from Point Clouds.” In 2017 IEEE International Conference on Computer Vision (ICCV), 2372–2380. Venice: IEEE. https://doi.org/10.1109/ICCV.2017.258.
  • Qi, C. R., H. Su, K. Mo, and L. J. Guibas. 2017. “PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.” In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 652–660. Honolulu, HI, USA: IEEE.
  • Sampath, A., and J. Shan. 2010. “Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds.” IEEE Transactions on Geoscience and Remote Sensing 48 (3): 1554–1567. https://doi.org/10.1109/TGRS.2009.2030180.
  • Tarsha Kurdi, F., and M. Awrangjeb. 2020. “Automatic Evaluation and Improvement of Roof Segments for Modelling Missing Details Using Lidar Data.” International Journal of Remote Sensing 41 (12): 4702–4725. https://doi.org/10.1080/01431161.2020.1723180.
  • Tarsha Kurdi, F., M. Awrangjeb, and A. W.-C. Liew. 2019. “Automated Building Footprint and 3D Building Model Generation from Lidar Point Cloud Data.” In 2019 Digital Image Computing: Techniques and Applications (DICTA), 1–8. Perth, WA, Australia: IEEE. https://doi.org/10.1109/DICTA47822.2019.8946008.
  • Tarsha Kurdi, F., M. Awrangjeb, and N. Munir. 2021. “Automatic Filtering and 2D Modeling of Airborne Laser Scanning Building Point Cloud.” Transactions in GIS 25 (1): 164–188. https://doi.org/10.1111/tgis.12685.
  • Tarsha Kurdi, F., T. Landes, P. Grussenmeyer, and M. Koehl. 2007. “Model-Driven and Data-Driven Approaches Using LIDAR Data: Analysis and Comparison.” In ISPRS Workshop, Photogrammetric Image Analysis (PIA07), edited by U. Stilla, H. Mayer, F. Rottensteiner, C. Heipke, and S. Hinz, 87–92. Munich, Germany: Institute of Photogrammetry and Cartography.
  • Verma, V., R. Kumar, and S. Hsu. 2006. “3D Building Detection and Modeling from Aerial LIDAR Data.” In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06), 2:2213–2220. https://doi.org/10.1109/CVPR.2006.12.
  • Wang, S., G. Cai, M. Cheng, J. Marcato Junior, S. Huang, Z. Wang, S. Su, and J. Li. 2020. “Robust 3D Reconstruction of Building Surfaces from Point Clouds Based on Structural and Closed Constraints.” ISPRS Journal of Photogrammetry and Remote Sensing 170 (December): 29–44. https://doi.org/10.1016/j.isprsjprs.2020.09.004.
  • Wang, X., and S. Ji. 2021. “Roof Plane Segmentation From LiDAR Point Cloud Data Using Region Expansion Based L0 Gradient Minimization and Graph Cut.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 10101–10116. https://doi.org/10.1109/JSTARS.2021.3113083.
  • Wichmann, A., A. Agoub, and M. Kada. 2018. “ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII–2 (May): 1191–1198. https://doi.org/10.5194/isprs-archives-XLII-2-1191-2018.
  • Wichmann, Andreas, A. Agoub, V. Schmidt, and M. Kada. 2019. “RoofN3D: A Database for 3D Building Reconstruction with Deep Learning.” Photogrammetric Engineering & Remote Sensing 85 (6): 435–443. https://doi.org/10.14358/PERS.85.6.435.
  • Xu, Y., W. Yao, L. Hoegner, and U. Stilla. 2017. “Segmentation of Building Roofs from Airborne LiDAR Point Clouds Using Robust Voxel-Based Region Growing.” Remote Sensing Letters 8 (11): 1062–1071. https://doi.org/10.1080/2150704X.2017.1349961.
  • Xu, B., X. Zhang, Z. Li, M. Leotta, S.-F. Chang, and J. Shan. 2020. Deep Learning Guided Building Reconstruction from Satellite Imagery-Derived Point Clouds.” arXiv.
  • Zhang, C., and H. Fan. 2022. “An Improved Multi-Task Pointwise Network for Segmentation of Building Roofs in Airborne Laser Scanning Point Clouds.” The Photogrammetric Record 37 (179): 260–284. https://doi.org/10.1111/phor.12420.
  • Zhao, Y., J. Zhang, H. Li, X. Gu, Z. Li, and S. Zhang. 2022. “Automatic Cobb Angle Measurement Method Based on Vertebra Segmentation by Deep Learning.” Medical & Biological Engineering & Computing 60 (8): 2257–2269. https://doi.org/10.1007/s11517-022-02563-7.
  • Zięba-Kulawik, K., K. Skoczylas, P. Wezyk, J. Teller, A. Mustafa, and H. Omrani. 2021. “Monitoring of Urban Forests Using 3D Spatial Indices Based on LiDAR Point Clouds and Voxel Approach.” Urban Forestry & Urban Greening 65 (September): 127324. https://doi.org/10.1016/j.ufug.2021.127324.