[1] . 利用密集匹配点云的建筑单体提取算法研究[J]. 中国激光, 2018, 45(7): 0710004.

    . Single part of building extraction from dense matching point cloud[J]. Chinese Journal of Lasers, 2018, 45(7): 0710004.

[2] , 等. 利用车载移动测量数据的建筑物立面建模方法[J]. 武汉大学学报(信息科学版), 2015, 40(9): 1137-1143.

    , et al. A survey on facade modeling using LiDAR point clouds and image sequences collected by mobile mapping systems[J]. Geomatics and Information Science of Wuhan University, 2015, 40(9): 1137-1143.

[3] . 考虑局部点云密度的建筑物立面自适应分割方法[J]. 激光与光电子学进展, 2015, 52(6): 061001.

    . Study on segmentation of building facade considering local point cloud density[J]. Laser & Optoelectronics Progress, 2015, 52(6): 061001.

[4] , 等. 结合区域增长法和TIN边缘分割的建筑物立面几何特征提取[J]. 武汉大学学报(信息科学版), 2015, 40(1): 102-106.

    , et al. Combination of region growing and TIN edge segmentation for extraction of geometric features on building facades[J]. Geomatics and Information Science of Wuhan University, 2015, 40(1): 102-106.

[5] . 蚁群算法的建筑物立面点云数据提取[J]. 武汉大学学报(信息科学版), 2012, 37(11): 1307-1310.

    . Ant colony algorithm for building facade points extraction[J]. Geomatics and Information Science of Wuhan University, 2012, 37(11): 1307-1310.

[6] . 基于投影点密度的车载激光扫描距离图像分割方法[J]. 测绘学报, 2005, 34(2): 95-100.

    . A method for segmentation of range image captured by vehicle-borne laser scanning based on the density of projected points[J]. Acta Geodaetica et Cartographica Sinica, 2005, 34(2): 95-100.

[7] HammoudiK, DornaikaF, PaparoditisN. Extracting building footprints from 3D point clouds using a terrestrial laser scanning at street level[C]//International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, September 3-4, 2009, Paris, France. Vienna: ISPRS, 2009, 38: 65- 70.

[8] HammoudiK, DornaikaF, SoheilianB, et al. Extracting outlined planar clusters of street facades from 3D point clouds[C]//2010 Canadian Conference on Computer and Robot Vision, May 31-June 2, 2010, Ottawa, ON, Canada. New York: IEEE, 2010: 122- 129.

[9] AburadrousJ, AmmounS, NashashibiF, et al. Digitizing and 3D modeling of urban environments and roads using vehicle-borne laser scanner system[C]//2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)( IEEE Cat. No. 04CH37566), September 28-October 2, 2004, Sendai, Japan. New York: IEEE, 2004: 76- 81.

[10] . 从激光扫描数据中进行建筑物特征提取研究[J]. 武汉大学学报(信息科学版), 2003, 28(1): 65-70.

    . Extraction of building's feature from laser scanning data[J]. Geomatics and Information Science of Wuhan University, 2003, 28(1): 65-70.

[11] , 等. 基于车载激光测距的建筑物立面信息提取[J]. 山东科技大学学报(自然科学版), 2004, 23(4): 8-11.

    , et al. Extraction of building facade information based on vehicular laser scanner[J]. Journal of Shandong University of Science and Technology (Natural Science), 2004, 23(4): 8-11.

[12] . 基于激光扫描仪数据的建筑物立面特征信息提取[J]. 测绘科学, 2006, 31(6): 141-142.

    . Extraction of building's facade information from laser scanning data[J]. Science of Surveying and Mapping, 2006, 31(6): 141-142.

[13] . New approaches for estimating the local point density and its impact on lidar data segmentation[J]. Photogrammetric Engineering & Remote Sensing, 2013, 79(2): 195-207.

[14] 张蕊. 基于激光点云的复杂三维场景多态目标语义分割技术研究[D]. 郑州: 战略支援部队信息工程大学, 2018: 1- 15.

    ZhangR. Research on polymorphic object semantic segmentation of complex 3D scenes based on laser point clouds[D]. Zhengzhou: PLA Strategic Support Force Information Engineering University, 2018: 1- 15.