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Accurate Rock-Mass Extraction From Terrestrial Laser Point Clouds via Multiscale and Multiview Convolutional Feature Representation

文献类型：期刊论文

作者Wang, Yunbiao1,2; Xu, Shibiao1,2,3; Xiao, Jun1,2; Wang, Feipeng1,2; Wang, Ying1,2; Liu, Lupeng1,2
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2021-05-01
卷号59期号:5页码:4430-4443
关键词Convolutional feature learning distribution priors multiview supporting planes point clouds labeling
ISSN号0196-2892
DOI10.1109/TGRS.2020.3023119
通讯作者Xiao, Jun(xiaojun@ucas.ac.cn)
英文摘要Existing 3-D object extraction methods on terrestrial laser point clouds are further developed through filtering and labeling. However, such predefined features are heuristically designed to process generic object point clouds. Thus, existing abilities are insufficient to handle specific rock-mass point clouds. Given the complexity and diversity of terrestrial environments, the effective removal of vegetation points from rock-mass point clouds is particularly challenging. To address such problems, this study presents a novel approach for 3-D rock-mass point clouds labeling by using convolutional feature learning based on distribution priors with multiple scales and views. First, to extract discriminative features of each point for classification, we propose novel multiview supporting planes to analyze the spatial distribution and structure of its neighboring points for each category. Second, we define the multiscale spatial distribution matrix on a grid representation (e.g., the number of points projected into each cell). Last, the statistical information of points is nonlinearly combined and hierarchically compressed to generate a compact and effective convolutional feature representation for classification. The effectiveness of the proposed method is evaluated via experiments on rock-mass point clouds from different scenes. Compared with existing extraction approaches, experimental results indicate the superiority of the proposed method in terms of the precision and recall.
WOS关键词PROGRESSIVE TIN DENSIFICATION ; MORPHOLOGICAL FILTER ; GROUND POINTS ; LIDAR DATA ; CLASSIFICATION ; SYSTEM
资助项目Key Research Program of Frontier Sciences CAS[QYZDYSSW-SYS004] ; Beijing Science and Technology Project[Z181100003818019] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23090304] ; Open Research Fund of Key Laboratory of Space Utilization, Chinese Academy of Sciences[LSU-KFJJ-2019-11] ; Open Research Fund of Key Laboratory of Space Utilization, Chinese Academy of Sciences[LSU-KFJJ-2020-04] ; National Natural Science Foundation of China[61802362] ; National Natural Science Foundation of China[61620106003] ; National Natural Science Foundation of China[61971418] ; National Natural Science Foundation of China[91646207] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[Y201935]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000642096400057
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Key Research Program of Frontier Sciences CAS ; Beijing Science and Technology Project ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Open Research Fund of Key Laboratory of Space Utilization, Chinese Academy of Sciences ; National Natural Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/44515]  
专题模式识别国家重点实验室_三维可视计算
通讯作者Xiao, Jun
作者单位1.Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Yunbiao,Xu, Shibiao,Xiao, Jun,et al. Accurate Rock-Mass Extraction From Terrestrial Laser Point Clouds via Multiscale and Multiview Convolutional Feature Representation[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021,59(5):4430-4443.
APA Wang, Yunbiao,Xu, Shibiao,Xiao, Jun,Wang, Feipeng,Wang, Ying,&Liu, Lupeng.(2021).Accurate Rock-Mass Extraction From Terrestrial Laser Point Clouds via Multiscale and Multiview Convolutional Feature Representation.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,59(5),4430-4443.
MLA Wang, Yunbiao,et al."Accurate Rock-Mass Extraction From Terrestrial Laser Point Clouds via Multiscale and Multiview Convolutional Feature Representation".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59.5(2021):4430-4443.

入库方式： OAI收割

来源：自动化研究所

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