[1] Bisheng Yang, Fuxun Liang, Ronggang Huang. Progress, challenges and perspectives of 3D LiDAR point cloud processing. Acta Geodatica et Cartographica Sinica, 46, 1509-1516(2017).

[2] W Y Yan, A Shaker, N El-Ashmawy. Urban land cover classification using airbone LiDAR data: a review. Remote Sensing of Environment, 158, 295-310(2015).

[3] Deren Li, Jun Ma, Zhenfeng Shao. Innovation in the census and monitoring of geographical national conditions. Geomatics and Information Science of Wuhan University, 43, 1-9(2018).

[4] Bisheng Yang, Zhen Dong. Progress and perspective of point cloud intelligence. Acta Geodaetica et Cartographica Sinica, 48, 1575-1585(2019).

[5] Deren Li. From geomatics to geospatial intelligent service science. Acta Geodaetica et Cartographica Sinica, 46, 1207-1212(2017).

[6] [6] Vosselman G, Mass H G. Airbne terrestrial laser scanning[M]. Boca Ration, FL: CRC Press, 2010.

[7] Han Hu, Yulin Ding, Qing Zhu, et al. An adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 98-111(2014).

[8] Lichun Sui, Yibin Zhang, Yan Liu, et al. Filtering of airborn LiDAR point cloud data based on the adaptive mathematical morphology. Acta Geodaeticaet Cartographica Sinica, 39, 390-396(2010).

[9] Lichun Sui, Yun Yang. Filtering of airborne LiDAR point cloud data based on car(p, q) model and mathematical morphology. Acta Geodaetica et Cartographica Sinica, 41, 219-224(2012).

[10] Xiaoxiao Zhu, Cheng Wang, Xiaohuan Xi, et al. Research progress of ICESat-2/ATLAS data processing and applications. Infrared and Laser Engineering, 49, 20200259(2020).

[11] Wei Qin, Xi Chen, Yuanyuan Ma, et al. The analysis of edge detection algorithms based on mathematical morphology. Information Technology, 43, 33-36(2019).

[12] Chuan Zhao, Baoming Zhang, Haitao Guo, et al. Airborne LiDAR point cloud classification using transfer learning. Optics and Precision Engineering, 27, 1601-1612(2019).

[13] Zhiqing Liu, Pengcheng Li, Xiaowei Chen, et al. Classification of airborne LiDAR point cloud data based on information vector machine. Optics and Precision Engineering, 24, 210-219(2016).

[14] Ruijian Du, Baozhen Ge, Lei Chen. Texture mapping of multi-view high-resolution images and binocular 3D point clouds. Chinese Optics, 13, 1055-1064(2020).

[15] Wenpeng Zong, Guangyun Li, Minglei Li, et al. A survey of laser scan matching methods. Chinese Optics, 11, 914-930(2018).

[16] Ying Chen, Ming Zhu, Zhaoze Li. Remote sensing digital image enhancement based on Gaussian mixture modeling. Chinese Journal of Lasers, 41, 1209002(2014).

[17] Zhiyong Tao, Xiaofang Liu, Hezhang Wang. Clustering algorithm of Gaussian mixture model based on density peaks. Journal of Computer Applications, 38, 3433-3437, 3443(2018).

[18] Fajie Feng, Yazhou Ding, Junping Li. Airborne LiDAR point cloud filtering using saliency division. Infrared and Laser Engineering, 49, 20190439(2020).

[19] Hao Sun, Yingqing Guo, Wanli Zhao. Improved model for on－board real－time by constructing empirical model via GMM clustering method. Journal of Northwestern Polytechnical University, 38, 507-514(2020).

[20] [20] Sithole G, Vosselman G. A comparison of existing automatic filters[R].Techniacal Rept, ISPRS test on extracting DEMs from point clouds, 2003.