[1] SONG H,FENG H Y.A Global Clustering Approach to Point Cloud Simplification with a Specified Data Reduction Ratio[J].Computer-Aided Design,2008,40(3):281-292. [2] SHI B Q,LIANG J,LIU Q.Adaptive Simplification of Point Cloud Using K-means Clustering[J].Computer-Aided Design,2011,43(8):910-922. [3] 宋大虎,李忠科,王忠,等.保持特征的点云迭代简化算法[J].计算机应用研究,2014,31(4):1273-1275. [4] 杨荣华.地面三维激光扫描点云角度分辨率与数据处理模型研究[D].武汉:武汉大学,2011. [5] 陈西江,章光,花向红.于法向量夹角信息熵的点云简化算法[J].中国激光,2015,42(8):328-336. [6] PAULY M,GROSS M,KOBBELT L P.Efficient Simplification of Point-sampled Surfaces[C]//Proceedings of the Conference on Visualization'02.[S.l.]:IEEE Computer Society,2002:163-170. [7] AWWAD T M,ZHU Q,DU Z,et al.An Improved Segmentation Approach for Planar Surfaces from Unstructured 3D Point Clouds[J].Photogrammetric Record,2010,25(129):5-23. [8] 刘闯,花向红,田茂,等.基于维度特征的RANSAC建筑物点云分割算法[J].测绘工程,2017,26(1):64-68. [9] YANG B S,DONG Z.A Shape-based Segmentation Method for Mobile Laser Scanning Point Clouds[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013,81(7):19-30. [10] 宣伟.地面激光点云数据质量评价与三维模型快速重建技术研究[J].测绘学报,2017,46(12):2045. [11] 李广云,李明磊,王力,等.地面激光扫描点云数据预处理综述[J].测绘通报,2015(11):1-3. [12] 钱金菊,张昌赛,王柯,等.机载LiDAR点云数据抽稀算法研究述评[J].测绘通报,2017(S1):33-35. [13] 叶珉吕,花向红.面向地形数据的点云简化算法[J].大地测量与地球动力学,2015,35(3):424-427. [14] 马国正.基于误差熵的点云简化方法[J].大地测量与地球动力学,2015,35(6):1053-1056. [15] 杨俊涛,康志忠.多尺度特征和马尔可夫随机场模型的电力线场景点云分类法[J].测绘学报,2018,47(2):188-197. |