Forest point cloud registration: a review
Point cloud registration is a necessary prerequisite for conducting precise, large-scale forest surveys and management. This paper focuses on providing a systematic overview and summary of the work on forest point cloud registration over the past 20 years. The developmental process of forest point c...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Maximum Academic Press
2024-01-01
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| Series: | Forestry Research |
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| Online Access: | https://www.maxapress.com/article/doi/10.48130/forres-0024-0015 |
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| _version_ | 1849700053503967232 |
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| author | Jincheng Liu Yijun Guo Juntao Yang Ningning Zhu Wenxia Dai Qiang Yu |
| author_facet | Jincheng Liu Yijun Guo Juntao Yang Ningning Zhu Wenxia Dai Qiang Yu |
| author_sort | Jincheng Liu |
| collection | DOAJ |
| description | Point cloud registration is a necessary prerequisite for conducting precise, large-scale forest surveys and management. This paper focuses on providing a systematic overview and summary of the work on forest point cloud registration over the past 20 years. The developmental process of forest point cloud registration methods, spanning from the early reliance on manual markers to the subsequent evolution towards automatic registration based on feature matching, and then to the advanced technology based on deep learning were reviewed. Furthermore, the paper offered detailed discussions on the registration between different point cloud platforms: ground platforms, between ground platforms and aerial platforms, and between aerial platforms. Additionally, the paper delved into mainstream datasets and evaluation metrics in the domain of forest point cloud registration. Finally, the paper summarized the current state of research in this area, highlighted challenges, and provided future research outlooks. This review aims to provide researchers with a comprehensive understanding of forest point cloud registration, and to promote the advancement of point cloud technology, hopefully inspiring further applications in the field. |
| format | Article |
| id | doaj-art-90e7159d21104fcfa37c50e45f777731 |
| institution | DOAJ |
| issn | 2767-3812 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Maximum Academic Press |
| record_format | Article |
| series | Forestry Research |
| spelling | doaj-art-90e7159d21104fcfa37c50e45f7777312025-08-20T03:18:23ZengMaximum Academic PressForestry Research2767-38122024-01-014118719610.48130/forres-0024-0015forres-0024-0015Forest point cloud registration: a reviewJincheng Liu0Yijun Guo1Juntao Yang2Ningning Zhu3Wenxia Dai4Qiang Yu5College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, ChinaCollege of Natural Resources and Environment, Northwest A&F University, Yangling 712100, ChinaCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, ChinaCollege of Natural Resources and Environment, Northwest A&F University, Yangling 712100, ChinaPoint cloud registration is a necessary prerequisite for conducting precise, large-scale forest surveys and management. This paper focuses on providing a systematic overview and summary of the work on forest point cloud registration over the past 20 years. The developmental process of forest point cloud registration methods, spanning from the early reliance on manual markers to the subsequent evolution towards automatic registration based on feature matching, and then to the advanced technology based on deep learning were reviewed. Furthermore, the paper offered detailed discussions on the registration between different point cloud platforms: ground platforms, between ground platforms and aerial platforms, and between aerial platforms. Additionally, the paper delved into mainstream datasets and evaluation metrics in the domain of forest point cloud registration. Finally, the paper summarized the current state of research in this area, highlighted challenges, and provided future research outlooks. This review aims to provide researchers with a comprehensive understanding of forest point cloud registration, and to promote the advancement of point cloud technology, hopefully inspiring further applications in the field.https://www.maxapress.com/article/doi/10.48130/forres-0024-0015forestrypoint cloudregistrationfeature matchingmulti-source platforms |
| spellingShingle | Jincheng Liu Yijun Guo Juntao Yang Ningning Zhu Wenxia Dai Qiang Yu Forest point cloud registration: a review Forestry Research forestry point cloud registration feature matching multi-source platforms |
| title | Forest point cloud registration: a review |
| title_full | Forest point cloud registration: a review |
| title_fullStr | Forest point cloud registration: a review |
| title_full_unstemmed | Forest point cloud registration: a review |
| title_short | Forest point cloud registration: a review |
| title_sort | forest point cloud registration a review |
| topic | forestry point cloud registration feature matching multi-source platforms |
| url | https://www.maxapress.com/article/doi/10.48130/forres-0024-0015 |
| work_keys_str_mv | AT jinchengliu forestpointcloudregistrationareview AT yijunguo forestpointcloudregistrationareview AT juntaoyang forestpointcloudregistrationareview AT ningningzhu forestpointcloudregistrationareview AT wenxiadai forestpointcloudregistrationareview AT qiangyu forestpointcloudregistrationareview |