An improved morphological algorithm for filtering airborne LiDAR point cloud based on multi-level kriging interpolation

Remote Sensing

Volumn 8, Issue 1, 2016, Pages

  Hui, Zhenyang ^a   Hu, Youjian ^a   Yevenyo, Yao Ziggah ^a   Yu, Xianyu ^a  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Filtering; Kriging interpolation; Morphology; Multi level; Point cloud

Indexed keywords

EID: 84957884152     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8010035     Document Type: Article

References (30)

1. Zhang, J.X.; Lin, X.G. Filtering airborne LiDAR data by embedding smoothness-constrained segmentation in progressive TIN densification. ISPRS J. Photogramm. 2013, 81, 44-59.
2. Lin, X.G.; Zhang, J.X. Segmentation-Based Filtering of Airborne LiDAR Point Clouds by Progressive Densification of Terrain Segments. Remote Sens. 2014, 6, 1294-1326.
3. Meng, X.; Currit, N.; Zhao, K. Ground filtering algorithms for airborne LiDAR data: A review of critical issues. Remote Sens. 2010, 2, 833-860.
4. Huang, H.; Brenner, C.; Sester, M. A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data. ISPRS J. Photogramm. Remote Sens. 2013, 79, 29-43.
5. Wang, R. 3D building modeling using images and LiDAR: A review. Int. J. Image Data Fusion 2013, 4, 273-292.
6. Boyko, A.; Funkhouser, T. Extracting roads from dense point clouds in large scale urban environment. ISPRS J. Photogramm. Remote Sens. 2011, 66, 2-12.
7. Hu, X.Y.; Li, Y.J.; Shan, J.; Zhang, J.Q.; Zhang, Y.J. Road centerline extraction in complex urban scenes from LiDAR data based on multiple features. IEEE Trans. Geosci. Remote Sens. 2014, 52, 7448-7456.
8. Vosselman, G. Slope based filtering of laser altimetry data. Int. Arch. Photogramm. Remote Sens. 2000, 33, 935-942.
9. Sithole, G. Filtering of laser altimetry data using a slope adaptive filter. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2001, 34, 203-210.
10. Wang, C.; Tseng, Y. Dem generation from airborne lidar data by an adaptive dual-directional slope filter. In Proceedings of ISPRS TC VII Symposium-100 Years ISPR, Vienna, Austria, 5-7 July 2010.
11. Susaki, J. Adaptive slope filtering of airborne LiDAR data in urban areas for digital terrain model (DTM) generation. Remote Sens. 2012, 4, 1804-1819.
12. Kraus, K.; Pfeifer, N. Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS J. Photogramm. Remote Sens. 1998, 53, 193-203.
13. Axelsson, P.E. DEM generation from laser scanner data using adaptive TIN models. Int. Arch. Photogramm. Remote Sens. 2000, 32, 110-117.
14. Mongus, D.; Žalik, B. Parameter-free ground filtering of LiDAR data for automatic DTM generation. ISPRS J. Photogramm. Remote Sens. 2012, 67, 1-12.
15. Chen, C.; Li, Y.; Li, W.; Dai, H. A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data. ISPRS J. Photogramm. Remote Sens. 2013, 82, 1-9.
16. Maguya, A.S.; Junttila, V.; Kauranne, T. Algorithm for extracting digital terrain models under forest canopy from airborne LiDAR data. Remote Sens. 2014, 6, 6524-6548.
17. Zhang, K.; Chen, S.C.; Whitman, D.; Shyu, M.L.; Yan, J.; Zhang, C. A progressive morphological filter for removing nonground measurements from airborne lidar data. IEEE Trans.Geosci. Remote Sens. 2003, 41, 872-882.
18. Chen, Q.; Gong, P.; Baldocchi, D.; Xie, G. Filtering airborne laser scanning data with morphological methods. Photogramm. Eng. Remote Sens. 2007, 73, 175-185.
19. Chen, Q. Improvement of the edge-based morphological (EM) method for LiDAR data filtering. Int. J. Remote Sens. 2009, 30, 1069-1074.
20. Li, Y.; Wu, H.; Xu, H.; An, R.; Xu, J.; He, Q. A gradient-constrained morphological filtering algorithm for airborne lidar. Opt. Laser Technol. 2013, 54, 288-296.
21. Li, Y.; Yong, B.; Wu, H.Y.; An, R.; Xu, H.W. An improved top-hat filter with sloped brim for extracting ground points from airborne lidar point clouds. Remote Sens. 2014, 6, 12885-12908.
22. Li, Y.; Yong, B.; Wu, H.Y.; An, R.; Xu, H.M.; Xu, J.; He, Q.S. Filtering airborne lidar data by modified white top-hat transform with directional edge constraints. Photogramm. Eng. Remote Sens. 2014, 80, 133-141.
23. Lohmann, P.; Koch, A.; Schaeffer, M. Approaches to the filtering of laser scanner data. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2000, 33, 540-547.
24. Mongus, D.; Lukac, N.; Žalik, B. Ground and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces. ISPRS J. Photogramm. Remote Sens. 2014, 93, 145-156.
25. Chen, D.; Zhang, L.Q.; Wang, Z.; Deng, H. A mathematical morphology-based multi-level filter of LiDAR data for generating DTMs. Sci. China Inf. Sci. 2013, 56, 1-14.
26. Sithole, G.; Vosselman, G. Experimental comparison of filter algorithms for bare earth extraction from airborne laser scanning point clouds. ISPRS J. Photogramm. Remote Sens. 2004, 59, 85-101.
27. Sun, H.Q. Applications of Geostatistics, 3rd ed.; China University of Mining and Technology Press: Xuzhou, China, 1990; pp. 96-103.
28. Sithole, G.; Vosselman, G. Report: ISPRS Comparison Of Filters; ISPRS Commission III, Working Group:Enschede, The Netherlands, 2003.
29. Jahromi, A.B.; Zoej, M.J.V.; Mohammadzadeh, A.; Sadeghian, S. A novel filtering algorithm for bare-earth extraction from airborne laser scanning data using an artificial neural network. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2011, 4, 836-843.
30. Pingel, T.J.; Clarke, K.C.; McBride, W.A. An improved simple morphological filter for the terrain classification of airborne lidar data. ISPRS J. Photogramm. Remote Sens. 2013, 77, 21-30.