1. [1] S. I. El-Halawany and D. D. Lichti, "Detection of road poles from mobile terrestrial laser scanner point cloud," in 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, 2011, pp. 1-6. [DOI:10.1109/M2RSM.2011.5697364]

2. [2] H. Yokoyama, H. Date, S. Kanai, and H. Takeda, "Pole-like objects recognition from mobile laser scanning data using smoothing and principal component analysis," Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, vol. 38, pp. 115-120, 2011. [DOI:10.5194/isprsarchives-XXXVIII-5-W12-115-2011]

3. [3] H. Yokoyama, H. Date, S. Kanai, and H. Takeda, "Detection and classification of pole-like objects from mobile laser scanning data of urban environments," Int. J. Cad/Cam, vol. 13, no. 2, pp. 31-40, 2013.

4. [4] Y. Yu, J. Li, H. Guan, C. Wang, and J. Yu, "Semiautomated extraction of street light poles from mobile LiDAR point-clouds," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 3, pp. 1374-1386, 2014. [DOI:10.1109/TGRS.2014.2338915]

5. [5] M. Lehtomäki, A. Jaakkola, J. Hyyppä, A. Kukko, and H. Kaartinen, "Detection of vertical pole-like objects in a road environment using vehicle-based laser scanning data," Remote Sens., vol. 2, no. 3, pp. 641-664, 2010. [DOI:10.3390/rs2030641]

6. [6] D. C. Mason, L. Giustarini, J. Garcia-Pintado, and H. L. Cloke, "Detection of flooded urban areas in high resolution Synthetic Aperture Radar images using double scattering," Int. J. Appl. Earth Obs. Geoinf., vol. 28, pp. 150-159, 2014, doi: [DOI:10.1016/j.jag.2013.12.002. https://doi.org/10.1016/j.jag.2013.12.002]

7. [7] Y. Hu, X. Li, J. Xie, and L. Guo, "A novel approach to extracting street lamps from vehicle-borne laser data," in 2011 19th International Conference on Geoinformatics, 2011, pp. 1-6. [DOI:10.1109/GeoInformatics.2011.5981183]

8. [8] D. Li, "Optimising detection of road furniture (pole-like objects) in mobile laser scanning data." University of Twente, 2013.

9. [9] S. Pu, M. Rutzinger, G. Vosselman, and S. O. Elberink, "Recognizing basic structures from mobile laser scanning data for road inventory studies," ISPRS J. Photogramm. Remote Sens., vol. 66, no. 6, pp. S28-S39, 2011. [DOI:10.1016/j.isprsjprs.2011.08.006]

10. [10] B. Yang, L. Fang, and J. Li, "Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds," ISPRS J. Photogramm. Remote Sens., vol. 79, pp. 80-93, 2013. [DOI:10.1016/j.isprsjprs.2013.01.016]

11. [11] H. Guan, J. Li, Y. Yu, C. Wang, M. Chapman, and B. Yang, "Using mobile laser scanning data for automated extraction of road markings," ISPRS J. Photogramm. Remote Sens., vol. 87, pp. 93-107, 2014. [DOI:10.1016/j.isprsjprs.2013.11.005]

12. [12] W. Y. Yan, S. Morsy, A. Shaker, and M. Tulloch, "Automatic extraction of highway light poles and towers from mobile LiDAR data," Opt. Laser Technol., vol. 77, pp. 162-168, 2016. [DOI:10.1016/j.optlastec.2015.09.017]

13. [13] L. Yan, Z. Li, H. Liu, J. Tan, S. Zhao, and C. Chen, "Detection and classification of pole-like road objects from mobile LiDAR data in motorway environment," Opt. Laser Technol., vol. 97, pp. 272-283, 2017. [DOI:10.1016/j.optlastec.2017.06.015]

14. [14] D. Shokri, H. Rastiveis, W. A. Sarasua, A. Shams, and S. Homayouni, "A Robust and Efficient Method for Power Lines Extraction from Mobile LiDAR Point Clouds," PFG-Journal Photogramm. Remote Sens. Geoinf. Sci., vol. 89, no. 3, pp. 209-232, 2021. [DOI:10.1007/s41064-021-00155-y]

15. [15] T. J. Pingel, K. C. Clarke, and W. A. McBride, "An improved simple morphological filter for the terrain classification of airborne LIDAR data," ISPRS J. Photogramm. Remote Sens., vol. 77, pp. 21-30, 2013. [DOI:10.1016/j.isprsjprs.2012.12.002]

16. [16] M. Cățeanu and C. Arcadie, "ALS for terrain mapping in forest environments: an analysis of lidar filtering algorithms," EARSeL eProceedings, vol. 16, no. 1, pp. 9-20, 2017.

17. [17] J. Liu, J. Z. Huang, J. Luo, and L. Xiong, "Privacy preserving distributed DBSCAN clustering," in Proceedings of the 2012 Joint EDBT/ICDT Workshops, 2012, pp. 177-185. [DOI:10.1145/2320765.2320819]

18. [18] R. M. Esteves, R. Pais, and C. Rong, "K-means clustering in the cloud--a Mahout test," in 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications, 2011, pp. 514-519. [DOI:10.1109/WAINA.2011.136]

19. [19] T. M. Kodinariya and P. R. Makwana, "Review on determining number of Cluster in K-Means Clustering," Int. J., vol. 1, no. 6, pp. 90-95, 2013.

20. [20] S. Krinidis and V. Chatzis, "A robust fuzzy local information C-means clustering algorithm," IEEE Trans. image Process., vol. 19, no. 5, pp. 1328-1337, 2010. [DOI:10.1109/TIP.2010.2040763]

21. [21] B. Lu and F. Ju, "An optimized genetic K-means clustering algorithm," in 2012 International Conference on Computer Science and Information Processing (CSIP), 2012, pp. 1296-1299.

22. [22] A. H. Beg and M. Z. Islam, "Advantages and limitations of genetic algorithms for clustering records," in 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), 2016, pp. 2478-2483. [DOI:10.1109/ICIEA.2016.7604009]

23. [23] M. C. Naldi, A. C. de Carvalho, and R. J. G. B. Campell, "Genetic clustering for data mining," in Soft computing for knowledge discovery and data mining, Springer, 2008, pp. 113-132. [DOI:10.1007/978-0-387-69935-6_5]

24. [24] V. Pratt, "Direct least-squares fitting of algebraic surfaces," ACM SIGGRAPH Comput. Graph., vol. 21, no. 4, pp. 145-152, 1987. [DOI:10.1145/37402.37420]

25. [25] A. K. Jain, "Data clustering: 50 years beyond K-means," Pattern Recognit. Lett., vol. 31, no. 8, pp. 651-666, 2010. [DOI:10.1016/j.patrec.2009.09.011]

26. [26] T. Singh and M. Mahajan, "Performance comparison of fuzzy C means with respect to other clustering algorithm," Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 4, no. 5, pp. 89-93, 2014.