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GIScience & Remote Sensing Volume 60, 2023 - Issue 1
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Research Article

Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

Yuting Zhaoa Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, P.R. ChinaView further author information
,
Jungho Imb Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South KoreaView further author information
,
Zhen Zhena Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, P.R. ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9281-4260View further author information
ORCID Icon &
Yinghui Zhaoa Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, P.R. ChinaCorrespondence[email protected]
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Article: 2197281 | Received 29 Dec 2022, Accepted 24 Mar 2023, Published online: 10 Apr 2023

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