A new hierarchical moving curve-fitting algorithm for filtering lidar data for automatic DTM generation

International Journal of Remote Sensing

Volumn 36, Issue 14, 2015, Pages 3616-3635

  Su, Wei ^a   Sun, Zhongping ^b   Zhong, Ruofei ^c   Huang, Jianxi ^a   Li, Menglin ^d   Zhu, Jingguo ^d   Zhang, Keshu ^d   Wu, Honggan ^e   Zhu, Dehai ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b NANJING INSTITUTE OF ENVIRONMENTAL SCIENCES   (China)

^c CAPITAL NORMAL UNIVERSITY   (China)

^d CHINESE ACADEMY OF SCIENCES   (China)

^e RESEARCH INSTITUTE OF FORESTRY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BUILDING MATERIALS; CURVE FITTING; ERRORS; SCALES (WEIGHING INSTRUMENTS); VEGETATION;

ADAPTIVE THRESHOLDS; CURVE FITTING ALGORITHM; DIGITAL TERRAIN MODEL; LIGHT DETECTION AND RANGING; RAPID GENERATIONS; SECOND DEGREE POLYNOMIALS; TRIANGULATED IRREGULAR NETWORKS; WEIGHTED INTERPOLATION;

OPTICAL RADAR;

ALGORITHM; DIGITAL TERRAIN MODEL; ERROR ANALYSIS; ESTIMATION METHOD; HIERARCHICAL SYSTEM; INTERPOLATION; LIDAR; SATELLITE DATA;

EID: 84938408714     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2015.1065356     Document Type: Article

References (33)

1. P.Axelsson, 2000. “DEM Generation from Laser Scanner Data Using Adaptive TIN Models.” International Archives of Photogrammetry and Remote Sensing 33 (Part B4/1): 111–118.
2. C.Briese,, and N.Pfeifer. 2001. “Airborne Laser Scanning and Derivation of Digital Terrain Models.” In 5th Conference on Optical 3-D Measurement Techniques, edited by A.Gruen and H.Kahmen, 80–87. Vienna: Optical 3D Measurement Techniques V, Technical University.
3. F.N.Cai, 2006. “Digital Filter Threshold Algorithm Based on Clustering Analysis.” Journal of Data Acquisition & Processing 21 (2): 234–238.
4. Q.H.Guo,, W.K.Li, H.Yu, and O.Alvarez. 2010. “Effects of Topographic Variability and Lidar Sampling Density on Several DEM Interpolation Methods.” Photogrammetric Engineering & Remote Sensing 76 (6): 701–712. doi:10.14358/PERS.76.6.701.
5. Y.Hu, 2003. “Automated Extraction of Digital Terrain Models, Roads and Buildings Using Airborne LIDAR Data.” PhD thesis, Department of Geomatics Engineering, University of Calgary.
6. M.J.Huang, 2006. “A Knowledge-based Approach to Urban-feature Classification Using Aerial Imagery with Airborne LiDAR Data.” PhD thesis, National Sun Yat-Sen University, Kaohsiung.
7. J.Kilian,, N.Haala, and M.Englich. 1996. “Capturing and Evaluation of Airborne Laser Scanner Data.” International Archives of Photogrammetry and Remote Sensing 31 (Part B3): 383–388.
8. K.Kraus,, and N.Pfeifer. 1998. “Determination of Terrain Models in Wooded Areas with Airborne Laser Scanner Data.” ISPRS Journal of Photogrammetry and Remote Sensing 53 (4): 193–203. doi:10.1016/S0924-2716(98)00009-4.
9. K.Lim,, P.Treitz, M.Wulder, B.St-Onge, and M.Flood. 2003. “Lidar Remote Sensing of Forest Structure.” Progress in Physical Geography 27 (1): 88–106. doi:10.1191/0309133303pp360ra.
10. C.Y.Lin, 2004. “The Study of DEM Generation from Airborne Laser Scanning Data.” Master’s Degree thesis, National Kaohsiung University, Kaohsiung [In Chinese with English summary.].
11. C.J.Liu,, J. Li, S. F. Zhang, and L. Q. Ding. 2012. “A Point Clouds Filtering Algorithm Based on Grid Partition and Moving Least Squares.” Procedia Engineering 28: 476–482. doi:10.1016/j.proeng.2012.01.754
12. X.Y.Liu,, Z.Y.Zhang, and J.Peterson. 2009. “Evaluation of the Performance of DEM Interpolation Algorithms for Lidar Data.” In Proceedings of the 2009 Surveying and Spatial Sciences Institute Biennial International Conference: Spatial Diversity (SSC 2009), Adelaide, 28 September–2 October, 771–779. Surveying and Spatial Sciences Institute.
13. P.Lohmann,, A.Koch, and M.Schaefer. 2000. “Approaches to the Filtering of Laser Scanner Data.” International Archives of Photogrammetry and Remote Sensing 33 (B3/1): 534–541.
14. X.L.Meng,, N.Currit, and K.G.Zhao. 2010. “Ground Filtering Algorithms for Airborne Lidar Data: A Review of Critical Issues.” Remote Sensing 2: 833–860. doi:10.3390/rs2030833.
15. D.Mongus,, and B.Žalik. 2012. “Parameter-Free Ground Filtering of Lidar Data for Automatic DTM Generation.” ISPRS Journal of Photogrammetry and Remote Sensing 67: 1–12. doi:10.1016/j.isprsjprs.2011.10.002.
16. C.Plagemann,, S.Mischke, S.Prentice, K.Kersting, N.Roy, and W.Burgard. 2009. “A Bayesian Regression Approach to Terrain Mapping and an Application to Legged Robot Locomotion.” Journal of Field Robotics 26 (10): 789–811. doi:10.1002/rob.v26:10.
17. F.G.Rottensteiner, Sohn, M. Gerke, and J. D. Wegner. 2013. “ISPRS Test Project on Urban Classification and 3D Building Reconstruction Group.” Accessed September 9, 2011. http://www2.isprs.org/commissions/comm3/wg4/tests.html
18. J.Q.Shi,, and Z.L.Shi. 2011. “Study on the Application of Terrascan to Filtering Lidar Data Cloud.” Journal of Huaihai Institute of Technology (Natural Science Edition) 20 (3): 46–49 [In Chinese with English summary.].
19. J.L.Silván-Cárdenas,, and L.Wang. 2006. “A Multi-Resolution Approach for Filtering Lidar Altimetry Data.” ISPRS Journal of Photogrammetry & Remote Sensing 61: 11–22. doi:10.1016/j.isprsjprs.2006.06.002.
20. G.Sithole,, and G. Vosselman. 2003. “Comparison of Filtering Algorithms.” In Proceedings of the ISPRS Working Group III/3 Workshop ‘3D Reconstruction from Airborne Laser Scanner and InSAR Data’, edited by H.-G. Maas, G. Vosselman, and A. Streilein, Vol. XXXIV, part 3/W13, 71–78, October 8–10. Dresden: Institute of Photogrammetry and Remote Sensing.
21. G.Sithole,, and G.Vosselman. 2004. “Experimental Comparison of Filter Algorithms for Bare Earth Extraction from Airborne Laser Scanning Point Clouds.” ISPRS Journal of Photogrammetry and Remote Sensing 59 (1–2): 85–101. doi:10.1016/j.isprsjprs.2004.05.004.
22. G.Sithole,, and G.Vosselman. 2005. “Filtering of Airborne Laser Scanner Data Based on Segmented Point Clouds.” International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36 (3/W19): 66–71.
23. C.Stal,, F.Tack, P.De Maeyer, A.DeWulf, and R.Goossens. 2013. “Airborne Photogrammetry and Lidar for DSM Extraction and 3D Change Detection over an Urban Area–A Comparative Study.” International Journal of Remote Sensing 34 (4): 1087–1110. doi:10.1080/01431161.2012.717183.
24. W.Su,, Z.P.Sun, D.L.Zhao, C.L.Sun, C.Zhang, and J.Y.Yang. 2009. “Hierarchical Moving Curved Fitting Filtering Method Based on LIDAR Data.” Journal of Remote Sensing 13 (5): 827–839.
25. 2 to Compare Least-Squares Fit Models: When It Must Fail.” Chemometrics and Intelligent Laboratory Systems 105 (2): 220–222. doi:10.1016/j.chemolab.2011.01.004.
26. C.Véga,, and S.Durrieu. 2011. “Multi-Level Filtering Segmentation to Measure Individual Tree Parameters Based on Lidar Data: Application to a Mountainous Forest with Heterogeneous Stands.” International Journal of Applied Earth Observation and Geoinformation 13: 646–656. doi:10.1016/j.jag.2011.04.002.
27. G.Vosselman, 2000. “Slope Based Filtering of Laser Altimetry Data.” International Archives of Photogrammetry and Remote Sensing 33 (B3/2): 935–942.
28. J.X.Zhang, 2010. “Multi-Source Remote Sensing Data Fusion: Status and Trends.” International Journal of Image and Data Fusion 1 (1): 5–24. doi:10.1080/19479830903561035.
29. J.X.Zhang,, and X.G.Lin. 2013. “Filtering Airborne Lidar Data by Embedding Smoothness-Constrained Segmentation in Progressive TIN Densification.” ISPRS Journal of Photogrammetry and Remote Sensing 81: 44–59. doi:10.1016/j.isprsjprs.2013.04.001.
30. K.Q.Zhang,, S.-C.Chen, D.Whitman, M.-L.Shyu, J.H.Yan, and C.C.Zhang. 2003. “A Progressive Morphological Filter for Removing Non-Ground Measurements from Airborne LIDAR Data.” IEEE Transactions on Geoscience and Remote Sensing 41 (4): 872–882. doi:10.1109/TGRS.2003.810682.
31. X.Zhang,, C.H.Hu, and W.Y.Chen. 2006. “Quadratic Surface Fitting and Uncertainty Analysis of Fitting Parameters.” Journal of Beijing University of Aeronautics and Astronautics 32 (9): 1091–1095 [In Chinese with English summary.].
32. X.H.Zhang, 2002. “Airborne Laser Scanning Altimetry Data Filtering and Features Extraction.” PhD thesis, Wuhan University, Beijing [In Chinese with English summary.].
33. X.Y.Zhang,, J.Z.Zhou, C.Q.Wang, C.S.Li, and L.X.Song. 2012. “Multi-Class Support Vector Machine Optimized by Inter-Cluster Distance and Self-Adaptive Deferential Evolution.” Applied Mathematics and Computation 218: 4973–4987. doi:10.1016/j.amc.2011.10.063.