[1] [1] GRUEN A, LI Zh, WANG X H. 3D city modeling with TLS (three line scanner) data［J］. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2003, 34(5): 24-27.

[2] [2] FRYSKOWSKA A, WALCZYKOWSKI P, DELIS P, et al. ALS and TLS data fusion in cultural heritage documentation and modeling［J］. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015, 40(5): 147-150.

[3] [3] RABBANI T, van den HEUVEL F A, VOSSELMANN G. Segmentation of point clouds using smoothness constraint［J］. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2006, 36(5): 248-253.

[4] [4] ADAMS R, BISCHOF L. Seeded region growing［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994, 16(6): 641-647.

[5] [5] BORRMANN D, ELSEBERG J, LINGEMANN K, et al. The 3D Hough transform for plane detection in point clouds: A review and a new accumulator design［J］. 3D Research, 2011, 2(2): 1-13.

[6] [6] FISCHLER M A, BOLLES R C. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography［J］. Communications of the ACM, 1981, 24(6): 381-395.

[7] [7] QU Y, PAN Q, YAN J. Flight path planning of UAV based on heuristically search and genetic algorithms［C］//31st Annual Conference of IEEE Industrial Electronics Society. IECON 2005. Raleigh, USA: IEEE, 2005: 45-49.

[8] [8] CHE E, OLSEN M J. Fast edge detection and segmentation of terrestrial laser scans through normal variation analysis［J］. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2017, 4(2):51-57.

[9] [9] MINEO C, PIERCE S G, SUMMAN R. Novel algorithms for 3D surface point cloud boundary detection and edge reconstruction［J］. Journal of Computational Design and Engineering, 2019, 6(1): 81-91.

[10] [10] JIN J G. Review of clustering method［J］. Computer Science, 2014, 41(11A): 288-293(in Chinese).

[11] [11] NING X, ZHANG X, WANG Y, et al. Segmentation of architecture shape information from 3D point cloud［C］//Proceedings of the 8th International Conference on Virtual Reality Continuum and its A-pplications in Industry. Yokohama, Japan: Association for Computing Machinery, 2009: 127-132.

[12] [12] LU W X, WAN Y Ch, HE P P, et al. Extracting and plane segmenting buildings from large scene point cloud［J］. Chinese Journal of Lasers, 2015, 42(9): 0914004 (in Chinese).

[13] [13] XIA S, CHEN D, WANG R, et al. Geometric primitives in LiDAR point clouds: A review［J］. IEEE Journal of Selected Topics in A-pplied Earth Observations and Remote Sensing, 2020, 13(1): 685-707.

[14] [14] BALLARD D H. Generalizing the Hough transform to detect arbitrary shapes［J］. Pattern Recognition, 1981, 13(2): 111-122.

[15] [15] BOLLES R C, FISCHLER M A. A RANSAC-based approach to model fitting and its application to finding cylinders in range data［C］// International Joint Conference on Artificial Intelligence, 1981. Vancouver, Canada: Citeseer, 1981: 637-643.

[16] [16] TARSHA-KURDI F, LANDES T, GRUSSENMEYER P. Hough-transform and extended RANSAC algorithms for automatic detection of 3D building roof planes from lidar data［C］//ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007. Espoo, Finland: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2007: 407-412.

[17] [17] ZHAO B, HUA X, YU K, et al. Indoor point cloud segmentation using iterative gaussian mapping and improved model fitting［J］. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(11): 7890-7907.

[18] [18] WU Y, LI G, XIAN C, et al. Extracting pop: Pairwise orthogonal planes from point cloud using RANSAC［J］. Computers & Graphics, 2021, 94(1): 43-51.

[19] [19] WANG G, SHA C Sh, WANG J. Study on segmentation of building facade considering local point cloud density［J］. Laser & Optoelectronics Progress, 2015, 52(6): 061001 (in Chinese).

[20] [20] DEMANTK J, MALLET C, DAVID N, et al. Dimensionality based scale selection in 3D lidar point clouds［J］. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012, 38(5): 97-102.

[21] [21] BELTON D, LICHTI D D. Classification and segmentation of terrestrial laser scanner point clouds using local variance information［J］. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2006, 36(5): 44-49.

[22] [22] WU H, ZHANG X, SHI W, et al. An accurate and robust region-growing algorithm for plane seg-mentation of TLS point clouds using a multiscale tensor voting method［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(10): 4160-4168.

[23] [23] ZHANG X Y, CHEN M L, LIU X J, et al. Classification of terrestrial point cloud considering point density and unknown angular re-solution［J］. Laser Technology, 2023, 47(1): 59-66(in Chinese).

[24] [24] YANG B Sh, DONG Zh, WEI Zh, et al. Extracting complex building facades from mobile laser scanning data［J］. Acta Geodaetica Et Cartographica Sinica, 2013, 42(3): 411-417 (in Chinese).

[25] [25] de SOUTO M C P, COELHO A L V, FACELI K, et al. A comparison of external clustering evaluation indices in the context of imbalanced data sets［C］//2012 Brazilian Symposium on Neural Networks. Curitiba Paraná, Brazil: IEEE, 2012: 49-54.