IB-CAS  > 植被与环境变化国家重点实验室
A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments
Guan, Hongcan1; Su, Yanjun1; Sun, Xiliang1; Xu, Guangcai1; Li, Wenkai2; Ma, Qin1; Wu, Xiaoyong1; Wu, Jin3; Liu, Lingli1; Guo, Qinghua1
2020
Source PublicationISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN0924-2716
Volume166Pages:82-94
AbstractTerrestrial laser scanning (TLS) has been recognized as an accurate means for non-destructively deriving three-dimensional (3D) forest structural attributes. These attributes include but are not limited to tree height, diameter at breast height, and leaf area density. As such, TLS has become an increasingly important technique in forest inventory practices and forest ecosystem studies. Multiple TLS scans collected at different locations are often involved for a comprehensive characterization of 3D canopy structure of a forest stand. Among which, multi-scan registration is a critical prerequisite. Currently, multi-scan TLS registration in forests is mainly based on a very time-consuming and tedious process of setting up hand-crafted registration targets in the field and manually identifying the common targets between scans from the collected data. In this study, a novel marker-free method that automatically registers multi-scan TLS data is presented. The main principle underlying our method is to identify shaded areas from the raw point cloud of a single TLS scan and to use them as the key features to register multi-scan TLS data. The proposed method is tested with 17 pairs of TLS scans collected in six plots across China with various vegetation characteristics (e.g., vegetation type, height, and understory complexity). Our results showed that the proposed method successfully registered all 17 pairs of TLS scans with equivalent accuracy to the manual registration approach. Moreover, the proposed method eliminates the process of setting up registration targets in the field, manually identifying registration targets from TLS data, and processing raw TLS data to extract individual tree attributes, which brings it the advantages of high efficiency and robustness. It is anticipated that the proposed algorithms can save time and cost of collecting TLS data in forests, and therefore improves the efficiency of TLS forestry applications.
KeywordTerrestrial laser scanning Registration Marker-free Forest
Subject AreaGeography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
DOI10.1016/j.isprsjprs.2020.06.002
Indexed BySCI
Language英语
WOS KeywordLEAF-AREA INDEX ; FREE REGISTRATION ; INDIVIDUAL TREES ; CLUMPING INDEX ; LIDAR DATA ; HEIGHT ; STEM ; CANOPY ; CLASSIFICATION ; ACCURACY
WOS Research AreaPhysical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000551268300008
PublisherELSEVIER
SubtypeArticle
Publication PlaceAMSTERDAM
EISSN1872-8235
Funding OrganizationFrontier Science Key Programs of the Chinese Academy of Sciences [QYZDY-SSW-SMC011] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41871332,31971575, 41901358]
Corresponding Author Emailguanhc@ibcas.ac.cn ; ysu@ibcas.ac.cn ; qguo@ibcas.ac.cn
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ibcas.ac.cn/handle/2S10CLM1/21666
Collection植被与环境变化国家重点实验室
Affiliation1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China
4.Univ Hong Kong, Sch Biol Sci, Pokfulam, Hong Kong, Peoples R China
Recommended Citation
GB/T 7714
Guan, Hongcan,Su, Yanjun,Sun, Xiliang,et al. A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2020,166:82-94.
APA Guan, Hongcan.,Su, Yanjun.,Sun, Xiliang.,Xu, Guangcai.,Li, Wenkai.,...&Guo, Qinghua.(2020).A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,166,82-94.
MLA Guan, Hongcan,et al."A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 166(2020):82-94.
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