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A Novel Framework for 2.5-D Building Contouring From Large-Scale Residential Scenes

文献类型：期刊论文

作者Du, Jianli1,2; Chen, Dong3,4; Wang, Ruisheng4; Peethambaran, Jiju5; Mathiopoulos, P. Takis6; Xie, Lei4; Yun, Ting7
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2019-06-01
卷号57期号:6页码:4121-4145
关键词airborne laser scanning (ALS) building abstraction building contour decomposition building contours building regularization large-scale airborne point clouds LoD1 building models
ISSN号0196-2892
DOI10.1109/TGRS.2019.2901539
通讯作者Chen, Dong(chendong@njfu.edu.cn) ; Wang, Ruisheng(ruiswang@ucalgary.ca)
英文摘要This paper introduces a novel methodology for residential building contouring from large-scale airborne point clouds. Unlike other methods that handle linearization and regularization of the linear primitives separately by imposing rigid constraints, we propose an optimization-based linearization and global regularization to form accurate, topologically error-free, and lightweight polygons. To this end, we enhance the classic density-based spatial clustering of applications with noise algorithm to segment individual building entities at the instance level. The initial contours of each individual building are then delineated and further decomposed by a novel topologically aware propagation process and a global optimization technique. The decomposed linear primitives are fed into the global regularization step, from which the regular shapes are learned and enforced hierarchically by imposing constraints, such as parallelism, homogeneity, orthogonality, and collinearity. Based on the concept of hybrid representation, the regularized and unaltered linear primitives are jointly connected in an esthetic way. Various experiments using representative buildings and large-scale residential scenes from the Dutch AHN3 data set have shown that the proposed methodology generates meaningful building contouring representation in terms of accuracy, compactness, topology, and levels of detail abstraction while being robust and scalable.
WOS关键词AUTOMATIC CONSTRUCTION ; RECONSTRUCTION ; MODEL ; REGULARIZATION ; ALGORITHMS ; EXTRACTION ; FOOTPRINTS ; IMAGES
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000470019800079
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://libir.pmo.ac.cn/handle/332002/26997]  
专题中国科学院紫金山天文台
通讯作者Chen, Dong; Wang, Ruisheng
作者单位1.Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Hubei, Peoples R China
2.Chinese Acad Sci, Purple Mt Observ, Nanjing 210034, Jiangsu, Peoples R China
3.Nanjing Forestry Univ, Coll Civil Engn, Nanjing 210037, Jiangsu, Peoples R China
4.Univ Calgary, Dept Geomat Engn, Calgary, AB T2N 1N4, Canada
5.St Marys Univ, Dept Math & Comp Sci, Halifax, NS B3P 2M6, Canada
6.Univ Athens, Dept Informat & Telecommun, Athens 15784, Greece
7.Nanjing Forestry Univ, Coll Informat Sci & Technol, Nanjing 210037, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714		 Du, Jianli,Chen, Dong,Wang, Ruisheng,et al. A Novel Framework for 2.5-D Building Contouring From Large-Scale Residential Scenes[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2019,57(6):4121-4145.
APA Du, Jianli.,Chen, Dong.,Wang, Ruisheng.,Peethambaran, Jiju.,Mathiopoulos, P. Takis.,...&Yun, Ting.(2019).A Novel Framework for 2.5-D Building Contouring From Large-Scale Residential Scenes.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,57(6),4121-4145.
MLA Du, Jianli,et al."A Novel Framework for 2.5-D Building Contouring From Large-Scale Residential Scenes".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 57.6(2019):4121-4145.

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来源：紫金山天文台

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