Optimization of Lidar Data Filtering with Improved Least Square Fitting of Moving Curve

[1] [1] LIU Y, SUN S Y. Laser point cloud denoising based on principal component analysis and surface fitting［J］. Laser Technology, 2020, 44(4): 497-502.

[2] [2] WANG H, ZHANG H C，ZHANG Y, et al. Improved filtering algorithm of progressive TIN densification for point cloud in mountain areas［J］. Geospatial Information, 2020, 18(12): 27-30.

[3] [3] ZHU L, DENG X S, XING C B. Method for determining contour of PTD filter grid parameters［J］. Applied Laser, 2020, 40(2): 336-341.

[4] [4] MAGUYA A S, JUNTTILA V, KAURANNE T. Adaptive algorithm for large scale DTM interpolation from lidar data for forestry applications in steep forested terrain［J］. ISPRS Journal of Photogrammetry and Remote Sensing, 2013,85:74-83.

[5] [5] SU W, SUN Z Z, ZHONG R J, et al. A new hierarchical moving curve-fitting algorithm for filtering lidar data for automatic DTM generation［J］. International Journal of Remote Sensing, 2015,36 (14) :3616-3635.

[6] [6] NURUNNABI A, WEST G, BELTON D. Robust locally weighted regression techniques for ground surface points filtering in mobile laser scanning three dimensional point cloud data［J］. IEEE Transactions on Geoscience & Remote Sensing, 2016, 54(4):2181-2193.

[7] [7] QIN L, WU W, TIAN Y ,et al.LiDAR filtering of urban areas with region growing based on moving-window weighted iterative least-squares fitting［J］ . IEEE Geoscience and Remote Sensing Letters, 2017:841-845.

[8] [8] LIU K, WANG W, THARMARASA R, et al.Ground surface filtering of 3D point clouds based on hybrid regression technique［J］ .IEEE Access , 2019 (7) :23270-23284.

[9] [9] CHEN Z , DEVEREUX B , GAO B , et al. Upward-fusion urban DTM generating method using airborne Lidar data［J］. Isprs Journal of Photogrammetry & Remote Sensing, 2012, 72(AUG.):121-130.

[10] [10] HAN H , DING Y , ZHU Q , et al. An adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy［J］. Isprs Journal of Photogrammetry & Remote Sensing, 2014, 92(2): 98-111.

[11] [11] WANG J X, ZHANG X Y, HONG S X, et al. Aerial LiDAR point cloud filtering algorithm combining mathematical morphology and TIN［J］. Science of Surveying and Mapping, 2019, 44(5): 151-156.

[12] [12] XIAO T Z, ZHANG J H, LIN J Z, et al. Calibration method and application of unmanned airborne laser scanning system［J］. Applied Laser, 2019, 39(2): 328-332.

[13] [13] WU J J, CHEN L, LI L, et al. Power line extraction and reconstruction from airborne LiDAR point cloud［J］. Laser Technology, 2019, 43(4): 64-69.

[14] [14] PAN W J, WU Z Y, ZHANG X L. Identification of aircraft wake vortex based on k-nearest neighbor［J］. Laser Technology, 2020, 44(4): 471-477.

[15] [15] XIAO Y, WANG C, XI X H, et al. 3D building model reconstruction from airborne LiDAR data［J］. Science of Surveying and Mapping, 2014, 39(11): 37-41.

[16] [16] ZHENG C. 3D architectural reconstruction based on airborne LiDAR data［J］. Geomatics Technology and Equipment, 2019, 21(2): 32-34.

[17] [17] GU X. Research on the application of UAV airborne lidar in geological surveying and engineering surveying［J］. Applied Laser, 2020, 40(6): 1126-1131.

[18] [18] GONG L, LI Z G, BAO Q F. Classification of LiDAR object points by fusing aerial image［J］. Engineering of Surveying and Mapping, 2012, 21(1): 34-38.

[19] [19] CANG G H, YUE J P. Plane fitting of point clouds based on weighted total least square［J］. Laser Technology, 2014, 38(3): 307-310.