[1] Zhang L S, Cheng X J. Tunnel deformation analysis based on lidar points[J]. Chinese Journal of Lasers, 45, 0404004(2018).

[2] Zhang T, Chen X J. Bridge amplitude monitoring with three-dimensional laser scanning technology[J]. Laser & Optoelectronics Progress, 55, 051409(2018).

[3] Cai Y, Xu W B, Liang D et al. Distinguishing phyllostachys edulis age based on laser scanning intensity[J]. Chinese Journal of Lasers, 45, 0110003(2018).

[4] Landa J, Procházka D. Š astn J. Point cloud processing for smart systems [J]. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 61, 2415-2421(2013).

[5] Han X F, Jin J S, Wang M J et al. A review of algorithms for filtering the 3D point cloud[J]. Signal Processing: Image Communication, 57, 103-112(2017). http://www.sciencedirect.com/science/article/pii/S0923596517300930

[6] Zaman F, Wong Y P, Ng B Y. Density-based denoising of point cloud. [C]∥9th International Conference on Robotic, Vision, Signal Processing and Power Applications, February 2-3, 2016, Penang, Malaysia. Singapore: Springer Singapore, 287-295(2016).

[7] Mattei E, Castrodad A. Point cloud denoising via moving RPCA[J]. Computer Graphics Forum, 36, 123-137(2017). http://onlinelibrary.wiley.com/doi/10.1111/cgf.13068/pdf

[8] Xiao C X, Miao Y W, Liu S et al. A dynamic balanced flow for filtering point-sampled geometry[J]. The Visual Computer, 22, 210-219(2006). http://dl.acm.org/citation.cfm?id=1127201

[9] Fleishman S, Drori I, Cohen-Or D. Bilateral mesh denoising[J]. ACM Transactions on Graphics, 22, 950-953(2003).

[10] Moorfield B, Haeusler R, Klette R[M]. Bilateral filtering of 3D point clouds for refined 3D roadside reconstructions, 394-402(2015).

[11] Li W L, Xie H, Zhang G et al. Adaptive bilateral smoothing for a point-sampled blade surface[J]. ASME Transactions on Mechatronics, 21, 2805-2816(2016). http://ieeexplore.ieee.org/document/7493624/

[12] Zhao C, Shi Y L[J]. Cheng J T. A new near point denoising algorithm for point cloud. Advanced Materials Research, 479/480/481, 2152-2156(2012).

[13] Smítka V, Štroner M. 3D scanner point cloud denoising by near points surface fitting[J]. Proceedings of SPIE, 8791, 87910C(2013). http://spie.org/Publications/Proceedings/Paper/10.1117/12.2020254

[14] Cao S, Yue J P, Ma W. Bilateral filtering denoise algorithm for point cloud based on feature selection[J]. Journal of Southeast University(Natural Science Edition), 43, 351-354(2013).

[15] Shao Q, Xu T, Yoshino T et al. Classified denoising method for laser point cloud data of stored grain bulk surface based on discrete wavelet threshold[J]. International Journal of Agricultural and Biological Engineering, 9, 123-131(2016).

[16] Haque S, Govindu V M. Robust feature-preserving denoising of 3D point clouds. [C]∥IEEE International Conference on 3D Vision, October 25-28, 2016, Stanford, CA, USA. New York: IEEE, 83-91(2016).

[17] Zhang Y, Lyu X Q. A three-dimensional diffusion filtering model establishment and analysis for point cloud intensity noise[J]. Journal of Computing and Information Science in Engineering, 17, 011010(2017). http://www.onacademic.com/detail/journal_1000039817427010_1d28.html

[18] Zhao K, Xu Y C, Li Y L et al. Large-scale scattered point cloud denoising method based on VG-DBSCAN algorithm[J]. Acta Optica Sinica, 38, 1028001(2018).

[19] Sveier A, Kleppe A L, Tingelstad L et al. Object detection in point clouds using conformal geometric algebra[J]. Advances in Applied Clifford Algebras, 27, 1961-1976(2017). http://link.springer.com/10.1007/s00006-017-0759-1

[20] Zhang K, Qiao S Q, Gao K. A new point cloud reconstruction algorithm based-on geometrical features. [C]∥ 2015 7th International Conference on Modelling, Identification and Control (ICMIC), December 18-20, 2015, Sousse, Tunisia. New York: IEEE, 297-302(2015).

[21] Li P F, Wu H E, Jing J F et al. Noise classification denoising algorithm for point cloud model[J]. Computer Engineering and Applications, 52, 188-192(2016).

[22] Giradeau M D, Bougacha S, Bey A et al. -02-04)[2018-02-05]. http:∥www.cloudcompare.org/.(2018).

[23] Li R Z, Yang M, Ran Y et al. Point cloud denoising and simplification algorithm based on method library[J]. Laser & Optoelectronics Progress, 55, 011008(2018).

[24] Zhu X X, Wang C, Xi X H et al. Hierarchical threshold adaptive for point cloud filter algorithm of moving surface fitting[J]. Acta Geodaetica et Cartographica Sinica, 47, 153-160(2018).