Accurate facade feature extraction method for buildings from three-dimensional point cloud data considering structural information
文献类型：期刊论文
| 作者 | Wang, Yongzhi3; Ma, Yuqing3; Zhu, A-xing1,2,4,5,6; Zhao, Hui3; Liao, Lixia3 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2018-05-01 |
| 卷号 | 139页码:146-153 |
| 关键词 | Three-dimensional point cloud data Two-dimensional optical images Structural information Facade features Three-dimensional building modeling |
| ISSN号 | 0924-2716 |
| DOI | 10.1016/j.isprsjprs.2017.11.015 |
| 通讯作者 | Zhu, A-xing(azhu@wisc.edu) |
| 英文摘要 | Facade features represent segmentations of building surfaces and can serve as a building framework. Extracting facade features from three-dimensional (3D) point cloud data (3D PCD) is an efficient method for 3D building modeling. By combining the advantages of 3D PCD and two-dimensional optical images, this study describes the creation of a highly accurate building facade feature extraction method from 3D PCD with a focus on structural information. The new extraction method involves three major steps: image feature extraction, exploration of the mapping method between the image features and 3D PCD, and optimization of the initial 3D PCD facade features considering structural information. Results show that the new method can extract the 3D PCD facade features of buildings more accurately and continuously. The new method is validated using a case study. In addition, the effectiveness of the new method is demonstrated by comparing it with the range image-extraction method and the optical image-extraction method in the absence of structural information. The 3D PCD facade features extracted by the new method can be applied in many fields, such as 3D building modeling and building information modeling. (C) 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved. |
| WOS关键词 | FALSE DETECTION CONTROL ; LINE SEGMENT DETECTOR ; LIDAR DATA ; IMAGE |
| 资助项目 | National Natural Science Foundation of China[41601429] ; Natural Science Foundation of Jiangxi Provincial Department of Science and Technology[20171BAB203028] |
| WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000431160100011 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Jiangxi Provincial Department of Science and Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/55069]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhu, A-xing |
| 作者单位 | 1.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA 2.Jiangsu Ctr Collaborat Innovat Geog Informat Res, Nanjing, Jiangsu, Peoples R China 3.Jiangxi Univ Sci & Technol, Sch Architectural & Surveying & Mapping Engn, Ganzhou, Peoples R China 4.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Nanjing, Jiangsu, Peoples R China 5.State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Jiangsu, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yongzhi,Ma, Yuqing,Zhu, A-xing,et al. Accurate facade feature extraction method for buildings from three-dimensional point cloud data considering structural information[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2018,139:146-153. |
| APA | Wang, Yongzhi,Ma, Yuqing,Zhu, A-xing,Zhao, Hui,&Liao, Lixia.(2018).Accurate facade feature extraction method for buildings from three-dimensional point cloud data considering structural information.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,139,146-153. |
| MLA | Wang, Yongzhi,et al."Accurate facade feature extraction method for buildings from three-dimensional point cloud data considering structural information".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 139(2018):146-153. |
入库方式： OAI收割
来源：地理科学与资源研究所
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