[1] Zeng Q H, Mao J H, Li X H et al. Application of the hierarchy classification to point cloud of airborne LIDAR[J]. Science of Surveying and Mapping, 33, 103-105, 249(2008).
[2] Niemeyer J, Mallet C, Rottensteiner F, Remote Sensing, Spatial Information Sciences et al. XXXVIII-, 4/W19, 209-214(2012).
[3] Niemeyer J, Rottensteiner F, Soergel U. Classification of urban LiDAR data using conditional random field and random forests[C]//Joint Urban Remote Sensing Event 2013. April 21-23, 2013, Sao Paulo, Brazil., 139-142(2013).
[5] Vosselman G. Gorte B G H, Sithole G, et al. Recognising structure in laser scanner point clouds[M]. Thies M, Koch B, Spiecker H, et al, ISPRS 2004 : proceedings of the ISPRS working group VIII/2 : laser scanning for forest and landscape assessment, Freiburg, October 3-6, 2004. Freiburg: University o, 33-38(2004).
[6] Kilian J, Haala N, Englich M. Capture and evaluation of airborne laser scanner data[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 31, 383-388(1996).
[7] Sithole G, Vosselman G. Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 59, 85-101(2004).
[8] Zhang W M, Qi J B, Wan P et al. An easy-to-use airborne LiDAR data filtering method based on cloth simulation[J]. Remote Sensing, 8, 501(2016).
[9] Meng X L, Wang L, Currit N. Morphology-based building detection from airborne lidar data[J]. Photogrammetric Engineering & Remote Sensing, 75, 437-442(2009).
[13] Battiti R. Using mutual information for selecting features in supervised neural net learning[J]. IEEE Transactions on Neural Networks, 5, 537-550(1994).
[15] Zhang R, Li G Y, Li M L et al[J]. Classification of LiDAR point clouds based on PCA-BP algorithm Bulletin of Surveying and Mapping, 2014, 23-26.
[17] Mohd Salleh M R, Abd Rahman M Z, Ismail Z et al. Revised progressive morphological method for ground point classification of airborne lidar data[J]. International Journal of Built Environment and Sustainability, 6, 31-38(2019).
[18] Cao Q, Zhong Y F, Ma A L et al. Urban land use/land cover classification based on feature fusion fusing hyperspectral image and lidar data[C]//IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. July 22-27, 8869-8872(2018).
[19] García-Sopo M Á, Cuartero A, Rodríguez P G et al. Hyperspectral and lidar data integration and classification[C]//2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 26-31, 2015, Milan, Italy., 57-60(2015).