{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T02:01:20Z","timestamp":1769738480078,"version":"3.49.0"},"reference-count":41,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T00:00:00Z","timestamp":1698105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Inner Mongolia Science and Technology Program","award":["2022YFSJ0039"],"award-info":[{"award-number":["2022YFSJ0039"]}]},{"name":"Inner Mongolia Science and Technology Program","award":["62273001"],"award-info":[{"award-number":["62273001"]}]},{"name":"General Program of National Natural Science Foundation of China","award":["2022YFSJ0039"],"award-info":[{"award-number":["2022YFSJ0039"]}]},{"name":"General Program of National Natural Science Foundation of China","award":["62273001"],"award-info":[{"award-number":["62273001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The point cloud-based 3D model of forest helps to understand the growth and distribution pattern of trees, to improve the fine management of forestry resources. This paper describes the process of constructing a fine rubber forest growth model map based on 3D point clouds. Firstly, a multi-scale feature extraction module within the point cloud column is used to enhance the PointPillars learning capability. The Swin Transformer module is employed in the backbone to enrich the contextual semantics and acquire global features with the self-attention mechanism. All of the rubber trees are accurately identified and segmented to facilitate single-trunk localisation and feature extraction. Then, the structural parameters of the trunks calculated by RANSAC and IRTLS cylindrical fitting methods are compared separately. A growth model map of rubber trees is constructed. The experimental results show that the precision and recall of the target detection reach 0.9613 and 0.8754, respectively, better than the original network. The constructed rubber forest information map contains detailed and accurate trunk locations and key structural parameters, which are useful to optimise forestry resource management and guide the enhancement of mechanisation of rubber tapping.<\/jats:p>","DOI":"10.3390\/rs15215083","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T06:29:01Z","timestamp":1698128941000},"page":"5083","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Mapping of Rubber Forest Growth Models Based on Point Cloud Data"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7524-8751","authenticated-orcid":false,"given":"Hang","family":"Zhou","sequence":"first","affiliation":[{"name":"College of Engineering, China Agricultural University, Beijing 100083, China"}]},{"given":"Gan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Internet, Anhui University, Hefei 236601, China"}]},{"given":"Junxiong","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Engineering, China Agricultural University, Beijing 100083, China"}]},{"given":"Chunlong","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Engineering, China Agricultural University, Beijing 100083, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/S0034-4257(02)00018-4","article-title":"Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture","volume":"81","author":"Haboudane","year":"2002","journal-title":"Remote Sens. 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