Automated registration of wide-baseline point clouds in forests using discrete overlap search

Automated registration of wide-baseline point clouds in forests using discrete overlap search

Forest is one of the most challenging environments to be recorded in a three-dimensional (3D) digitized geometrical representation, because of the size and the complexity of the environment and the data-acquisition constraints brought by on-site conditions. Previous studies have indicated that the d...

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Bibliographic Details
Main Authors: Onni Pohjavirta, Xinlian Liang, Yunsheng Wang, Antero Kukko, Jiri Pyörälä, Eric Hyyppä, Xiaowei Yu, Harri Kaartinen, Juha Hyyppä
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-01-01
Series:Forest Ecosystems
Subjects:
Close-range sensing
Forest
Registration
Point cloud
Wide-baseline
Terrestrial laser scanning
Online Access:http://www.sciencedirect.com/science/article/pii/S219756202200080X

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