[1] Miao Q G, Guo X, Song J F et al. LiDAR point cloud data with morphological filter algorithm based on region prediction[J]. Laser & Optoelectronics Progress, 52, 011003(2015).

[2] Hui Z Y, Hu Y J. Review on morphological filtering algorithms based on LiDAR digital elevation model construction[J]. Laser & Optoelectronics Progress, 53, 080001(2016).

[3] Cheng X J, Cheng X L, Hu M J et al. Buildings detection and contour extraction by fusion of aerial images and LIDAR point cloud[J]. Chinese Journal of Lasers, 43, 0514002(2016).

[4] Zhao Z Z, Zhang Y J. Building extraction from airborne laser point cloud using NDVI constrained watershed algorithm[J]. Acta Optica Sinica, 36, 1028002(2016).

[5] Lin X G, Zhang J X. 3D power line reconstruction from airborne LiDAR point cloud of overhead electric power transmission corridors[J]. Acta Geodaetica et Cartographica Sinica, 45, 347-353(2016).

[6] Chen C, Mai X M, Song S et al. Aotomatic power lines extraction method from airborne LiDAR point cloud[J]. Geomatics and Information Science of Wuhan University, 40, 1600-1605(2015).

[7] Liu J N, Zhang X H. Classification of laser scanning altimetry data using laser intensity[J]. Geomatics and Information Science of Wuhan University, 30, 189-193(2005).

[8] Zhang X H[M]. Theory and methods of technology for airborne LiDAR measurements(2007).

[9] Lang M W, Mccarty G W. Lidar intensity for improved detection of inundation below the forest canopy[J]. Wetlands, 29, 1166-1178(2009). http://www.bioone.org/doi/abs/10.1672/08-197.1

[10] Ohashi M. A study on tree species classification by using LIDAR intensity[C]. Summaries of technical papers of Annual Meeting Architectural Institute of Japan, 879-880(2011).

[11] Minh N Q, Hien L P. Land cover classification using LiDAR intensity data and neural network[J]. Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography, 29, 429-438(2011). http://www.dbpia.co.kr/journal/articledetail/3198378?related=rcm_article

[12] Xu J Z, Wan Y C, Lai Z L. Multi-scale method for extracting road centerlines from LIDAR datasets[J]. Infrared and Laser Engineering, 38, 1099-1103(2009).

[13] Choi Y W, Jang Y W, Lee H J et al. Three-dimensional LiDAR data classifying to extract road point in urban area[J]. IEEE Geoscience and Remote Sensing Letters, 5, 725-729(2008). http://ieeexplore.ieee.org/document/4656488/

[14] Clode S, Rottensteiner F, Kootsookos P et al. Detection and vectorization of roads from lidar data[J]. Photogrammetric Engineering & Remote Sensing, 73, 517-535(2007). http://www.ingentaconnect.com/content/asprs/pers/2007/00000073/00000005/art00001

[15] Dong B G, Qin Z Y, Chen J et al. Threshold-free method for airborne LiDAR point clouds data filtering[J]. Computer Engineering and Applications, 49, 219-223(2013).

[16] Bartels M, Wei H, Mason D C. DTM generation from LIDAR data using skewness balancing[C]. Proceedings of the 18th International Conference on Pattern Recognition, 566-569(2006).

[17] Bartels M, Wei H. Threshold-free object and ground point separation in LIDAR data[J]. Pattern Recognition Letters, 31, 1089-1099(2010). http://www.sciencedirect.com/science/article/pii/S0167865510000887

[18] Duda R O, Hart P E, Stork D G. Pattern classification[M]. New Jersey: Wiley(1973).

[19] Hui Z Y, Hu Y J, Yevenyo Y Z et al. An improved morphological algorithm for filtering airborne LiDAR point cloud based on multi-level kriging interpolation[J]. Remote Sensing, 8, 35-50(2016). http://adsabs.harvard.edu/abs/2016RemS....8...35H

[20] Hui Z Y, Hu Y J, Jin S G et al. Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 118, 22-36(2016). http://www.sciencedirect.com/science/article/pii/S0924271616300430