利用层间连接和平滑策略重建屋顶三维模型

doi:10.13474/j.cnki.11-2246.2020.0190

测绘通报 ›› 2020, Vol. 0 ›› Issue (6): 104-110.doi: 10.13474/j.cnki.11-2246.2020.0190

利用层间连接和平滑策略重建屋顶三维模型

许浩^1,2, 程亮², 伍阳¹

1. 中国电子科技集团公司第二十八研究所, 江苏南京 210007;
2. 南京大学, 江苏南京 210023

收稿日期:2019-07-29 出版日期:2020-06-25 发布日期:2020-07-01
通讯作者: 程亮。E-mail:geocl@163.com E-mail:geocl@163.com
作者简介:许浩(1992-),男,硕士,工程师,主要研究方向为遥感影像、LiDAR数据处理分析应用。E-mail:xuhao_nju@smail.nju.edu.cn
基金资助:
国家自然科学基金（41622109；41371017）

Building roof reconstruction from airborne LiDAR data based on layer connection and smoothness strategy

XU Hao^1,2, CHENG Liang², WU Yang¹

1. The 28 th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;
2. Nanjing University, Nanjing 210023, China

Received:2019-07-29 Online:2020-06-25 Published:2020-07-01

摘要/Abstract

摘要： 面向数字城市和智慧城市建设急需城市建筑三维模型支撑的需要，本文基于机载LiDAR数据，以“顾及平整性的屋顶面片分割—屋顶层间连接—三维模型重建”为脉络，提出了一种采用层间连接和平滑策略的建筑屋顶三维模型重建方法。在屋顶面片提取过程中，充分顾及了屋顶面片的平整性；并在屋顶面片平整基础上，提出层间连接点的概念，以实现高效、快速的模型重建工作。试验部分，本文从屋顶面片重建完整率与正确率、重建几何精度及建筑物高程对于重建的影响3个方面作了较为详尽的评价与分析，并在国际摄影测量与遥感学会标准数据集支撑下，与国际同行进行试验对比。试验结果表明，建筑屋顶重建的完整率和正确率分别达到90%和95%；在偏移距离评价方面，平均偏移距离和标准差最优分别达0.05 m和0.18 m。因此，本文方法可有效完成建筑屋顶三维模型重建，重建模型准确度高、完整性好。

关键词: 机载LiDAR, 三维重建, 面片分割, 面片平滑, 建筑屋顶

Abstract: For providing 3D building models to construct digital and smart cities, an approach, which uses smoothness strategy and layer connection based on airborne LiDAR data proposed for automatically reconstructing 3D building roof models with precise position and details. It consists of four steps: building roof point extraction, building rooftop patch segmentation, connection between roof layers and 3D building roof model reconstruction. Building roof points are firstly extracted from airborne LiDAR data using the reversed iterative mathematic morphological algorithm and the density-based method. In the process of rooftop patch extraction, the smoothness of the rooftop patch is taken into consideration. The concept of layer-connection-point is proposed to complete building model reconstruction effectively and fast after obtaining the smooth rooftop patches. Experiments are analyzed from several aspects: the completeness and correctness, deviation analysis of the reconstructed building roofs, and the influence of elevation to 3D model roof reconstruction supported by the ISPRS standard data set, compared with the international similar experiment. According to the experimental results, the completeness and correctness of the roof reconstruction results are 90% and 95%, respectively. The average deviation distance and standard deviation are 0.05 and 0.18 m, respectively. The experimental results demonstrate promising correctness, completeness, and deviation accuracy, with a satisfactory 3D building roof models.

Key words: airborne LiDAR, 3D roof model reconstruction, rooftop patch segmentation, rooftop patch smoothing, building roof

中图分类号:

P237

许浩, 程亮, 伍阳. 利用层间连接和平滑策略重建屋顶三维模型[J]. 测绘通报, 2020, 0(6): 104-110.

XU Hao, CHENG Liang, WU Yang. Building roof reconstruction from airborne LiDAR data based on layer connection and smoothness strategy[J]. Bulletin of Surveying and Mapping, 2020, 0(6): 104-110.

参考文献

[1] GROGER G, PLUMER L. CityGML-interoperable semantic 3D city models[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 71:12-33.
[2] WANG Q, KIM M K.Applications of 3D point cloud data in the construction industry:a fifteen-year review from 2004 to 2018[J]. Advanced Engineering Informatics, 2019, 39:306-319.
[3] 王令文.结合点云数据与BIM技术的古建筑三维重建与信息化管理[J]. 测绘通报, 2018(6):114-117.
[4] HENN A, GROGER G, STROH V, et al.Model driven reconstruction of roofs from sparse LiDAR point clouds[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2013, 76:17-29.
[5] AWRANGJEB M, ZHANG C S, FRASER C S. Automatic extraction of building roofs using LiDAR data and multispectral imagery[J]. ISPRS Journal of Photogram-metry and Remote Sensing, 2013, 83:1-18.
[6] SUMER E, TURKER M. Automated extraction of photorea-listic facade textures from single ground-level building images[J].International Journal of Pattern Recognition and Artificial Intelligence, 2014, 28(4):1455007.
[7] XIA S B, WANG R S.Extraction of residential building instances in suburban areas from mobile LiDAR data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 144:453-468.
[8] LI M L, ROTTENSTEINER F, HEIPKE C.Modelling of buildings from aerial LiDAR point clouds using TINs and label maps[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 154:127-138.
[9] 曾齐红, 毛建华,李先华, 等. 机载LiDAR点云数据的建筑物重建研究[J]. 武汉大学学报(信息科学版), 2011, 36(3):321-324,328.
[10] SUSAKI J.Knowledge-based modeling of buildings in dense urban areas by combining airborne LiDAR data and aerial images[J]. Remote Sensing, 2013, 5(11):5944-5968.
[11] 王春林,孙金彦,周绍光,等. 影像辅助下LiDAR数据建筑物轮廓信息提取[J]. 国土资源遥感, 2017,29(1):78-85.
[12] 詹总谦,李一挥,桂鑫源.倾斜摄影测量与SketchUp二次开发技术相结合的建筑三维重建[J].测绘通报,2017(5):71-74.
[13] 朱剑伟.一种基于无人机影像的建筑物三维模型重建方法[J].测绘通报, 2018(S1):124-128.
[14] CHENG L, ZHAO W, HAN P, et al. Building region derivation from LiDAR data using a reversed iterative mathematic morphological algorithm[J]. Optics Communications, 2013, 286:244-250.
[15] AWRANGJEB M, LU G, FRASER C. Automatic building extraction from LiDAR data covering complex urban scenes[J]. ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014, XL-3:25-32.
[16] SAMPATH A, SHAN J. Segmentation and reconstruction of polyhedral building roofs from aerial LiDAR point clouds[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(3):1554-1567.
[17] 官云兰, 程效军, 施贵刚.一种稳健的点云数据平面拟合方法[J]. 同济大学学报(自然科学版), 2008, 36(7):981-984.
[18] 丁世飞, 齐丙娟, 谭红艳. 支持向量机理论与算法研究综述[J]. 电子科技大学学报, 2011, 40(1):1-10.
[19] ZHOU Q Y,NEUMANN U. Fast and extensible building modeling from airborne LiDAR data[C]//Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Irvine:ACM, 2008:1-8.
[20] BESL P J,MCKAY N D. A method for registration of 3D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2):239-256.
[21] ROTTENSTEINER F, SOHN G, GERKE M, et al. Results of the ISPRS benchmark on urban object detection and 3D building reconstruction[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 93:256-271.
[22] OUDE ELBERINK S, VOSSELMAN G. Building reconstruc-tion by target based graph matching on incomplete laser data:analysis and limitations[J]. Sensors, 2009, 9(8):6101-6118.
[23] RAU J Y,LIN B C. Automatic roof model reconstruction from ALS data and 2D ground planes based on side projection and the TMR algorithm[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2011, 66(6):S13-S27.
[24] XIONG B, OUDE ELBERINK S,VOSSELMAN G. A graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 93:227-242.
[25] GILANI A N, AWRANGJEB M, LU G. Robust building roof segmentation using airborne point cloud data[C]//IEEE International Conference on Image Processing (ICIP). AZ:IEEE, 2016.
[26] JARZABEK-RYCHARD M, BORKOWSKI A. 3D building reconstruction from ALS data using unambiguous decomposition into elementary structures[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 118:1-12.

利用层间连接和平滑策略重建屋顶三维模型

Building roof reconstruction from airborne LiDAR data based on layer connection and smoothness strategy

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