{"id":"https://openalex.org/W4414110888","doi":"https://doi.org/10.1109/tgrs.2025.3608325","title":"AdLeaf: Quantitative Leaf Reconstruction From TLS Point Clouds","display_name":"AdLeaf: Quantitative Leaf Reconstruction From TLS Point Clouds","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414110888","doi":"https://doi.org/10.1109/tgrs.2025.3608325"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3608325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3608325","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://handle.uba.uva.nl/personal/pure/en/publications/adleaf-quantitative-leaf-reconstruction-from-tls-point-clouds(bb03fbbb-8490-49c3-a22a-51f69ef26201).html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012541276","display_name":"Guangpeng Fan","orcid":"https://orcid.org/0000-0002-2292-4920"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangpeng Fan","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China","School of Information Science and Technology, Beijing Forestry University, China"],"raw_orcid":"https://orcid.org/0000-0002-2292-4920","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081229617","display_name":"Liangliang Xu","orcid":"https://orcid.org/0000-0002-5249-7480"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangliang Xu","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China","School of Information Science and Technology, Beijing Forestry University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiani Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiani Guo","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China","School of Information Science and Technology, Beijing Forestry University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109709598","display_name":"Ruoyoulan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoyoulan Wang","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China","School of Information Science and Technology, Beijing Forestry University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023040529","display_name":"Haoran Zhao","orcid":"https://orcid.org/0000-0002-0802-0431"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Zhao","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China","School of Information Science and Technology, Beijing Forestry University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085440681","display_name":"Hao Lu","orcid":"https://orcid.org/0000-0002-3083-4909"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Lu","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China","School of Information Science and Technology, Beijing Forestry University, China"],"raw_orcid":"https://orcid.org/0000-0002-3083-4909","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112754510","display_name":"Jinhu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jinhu Wang","raw_affiliation_strings":["Department of Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands","Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003870232","display_name":"Di Wang","orcid":"https://orcid.org/0000-0003-0232-8862"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wang","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Software Engineering, Xi&#x2019;an Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0003-0232-8862","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101694557","display_name":"Feixiang Chen","orcid":"https://orcid.org/0000-0003-1000-8455"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feixiang Chen","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China","School of Information Science and Technology, Beijing Forestry University, China"],"raw_orcid":"https://orcid.org/0000-0003-1000-8455","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027616562","display_name":"Liangliang Nan","orcid":"https://orcid.org/0000-0002-5629-9975"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Liangliang Nan","raw_affiliation_strings":["Urban Data Science Section, Delft University of Technology, Delft, The Netherlands","Urban Data Science Section, Delft University of Technology, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-5629-9975","affiliations":[{"raw_affiliation_string":"Urban Data Science Section, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Urban Data Science Section, Delft University of Technology, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5012541276"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19307193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8252000212669373},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6273999810218811},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5475000143051147},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.46970000863075256},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4595000147819519},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45190000534057617},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4453999996185303},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42260000109672546},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.4099000096321106}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8252000212669373},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6273999810218811},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5475000143051147},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5130000114440918},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4595000147819519},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45190000534057617},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42260000109672546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41130000352859497},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.4099000096321106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.392300009727478},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.32030001282691956},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.30570000410079956},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3018999993801117},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2874999940395355},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.27250000834465027},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C39807119","wikidata":"https://www.wikidata.org/wiki/Q1134228","display_name":"Tree canopy","level":3,"score":0.2567000091075897},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2025.3608325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3608325","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:dare.uva.nl:openaire/bb03fbbb-8490-49c3-a22a-51f69ef26201","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/adleaf-quantitative-leaf-reconstruction-from-tls-point-clouds(bb03fbbb-8490-49c3-a22a-51f69ef26201).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fan, G, Xu, L, Wang, R, Zhao, H, Lu, H, Wang, J, Wang, D, Chen, F & Nan, L 2025, 'AdLeaf: Quantitative Leaf Reconstruction From TLS Point Clouds', IEEE Transactions on geoscience and remote sensing, vol. 63, 4418718. https://doi.org/10.1109/TGRS.2025.3608325","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/bb03fbbb-8490-49c3-a22a-51f69ef26201","is_oa":true,"landing_page_url":"https://hdl.handle.net/11245.1/bb03fbbb-8490-49c3-a22a-51f69ef26201","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fan, G, Xu, L, Wang, R, Zhao, H, Lu, H, Wang, J, Wang, D, Chen, F & Nan, L 2025, 'AdLeaf: Quantitative Leaf Reconstruction From TLS Point Clouds', IEEE Transactions on geoscience and remote sensing, vol. 63, 4418718. https://doi.org/10.1109/TGRS.2025.3608325","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:dare.uva.nl:openaire/bb03fbbb-8490-49c3-a22a-51f69ef26201","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/adleaf-quantitative-leaf-reconstruction-from-tls-point-clouds(bb03fbbb-8490-49c3-a22a-51f69ef26201).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fan, G, Xu, L, Wang, R, Zhao, H, Lu, H, Wang, J, Wang, D, Chen, F & Nan, L 2025, 'AdLeaf: Quantitative Leaf Reconstruction From TLS Point Clouds', IEEE Transactions on geoscience and remote sensing, vol. 63, 4418718. https://doi.org/10.1109/TGRS.2025.3608325","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3040871105","display_name":null,"funder_award_id":"BX20220038","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W51427204","https://openalex.org/W1965722011","https://openalex.org/W1978991768","https://openalex.org/W1979361372","https://openalex.org/W1987610258","https://openalex.org/W1988872612","https://openalex.org/W1989561113","https://openalex.org/W1998207892","https://openalex.org/W2013127832","https://openalex.org/W2019027694","https://openalex.org/W2048077074","https://openalex.org/W2067488548","https://openalex.org/W2080843536","https://openalex.org/W2095614097","https://openalex.org/W2118389835","https://openalex.org/W2127243393","https://openalex.org/W2135844327","https://openalex.org/W2150853404","https://openalex.org/W2157096137","https://openalex.org/W2171423575","https://openalex.org/W2223657480","https://openalex.org/W2734268260","https://openalex.org/W2789936919","https://openalex.org/W2800270119","https://openalex.org/W2887023624","https://openalex.org/W2889648359","https://openalex.org/W2896680712","https://openalex.org/W2907127092","https://openalex.org/W2908560465","https://openalex.org/W2933481490","https://openalex.org/W2966590113","https://openalex.org/W2979956468","https://openalex.org/W2984835294","https://openalex.org/W3009288410","https://openalex.org/W3029137325","https://openalex.org/W3044040804","https://openalex.org/W3080887999","https://openalex.org/W3085550999","https://openalex.org/W3087605142","https://openalex.org/W3088292472","https://openalex.org/W3113243634","https://openalex.org/W3113380481","https://openalex.org/W3119299509","https://openalex.org/W3132665527","https://openalex.org/W3175635749","https://openalex.org/W3192946819","https://openalex.org/W3197337627","https://openalex.org/W3212207495","https://openalex.org/W4200035802","https://openalex.org/W4200040062","https://openalex.org/W4210473623","https://openalex.org/W4282012502","https://openalex.org/W4283800311","https://openalex.org/W4283829529","https://openalex.org/W4285387328","https://openalex.org/W4289914010","https://openalex.org/W4312993799","https://openalex.org/W4313452647","https://openalex.org/W4315796028","https://openalex.org/W4318684548","https://openalex.org/W4361301766","https://openalex.org/W4362631588","https://openalex.org/W4376865479","https://openalex.org/W4385963096","https://openalex.org/W4406610968"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4389574804"],"abstract_inverted_index":{"Quantitatively":[0],"reconstructing":[1],"the":[2,39,91,214,256],"3D":[3,229],"structure":[4,25,252,261],"of":[5,61,78,124,187,190,193,201,236],"individual":[6,62,72],"leaves":[7,63,108],"within":[8],"tree":[9,92,257],"canopies":[10],"is":[11,102],"critical":[12],"for":[13,58,157,249],"understanding":[14],"forest":[15,260],"function":[16,254],"and":[17,52,76,83,97,111,117,132,140,143,167,173,196,242,262],"environmental":[18],"responses":[19],"to":[20,41,94,155,253],"climate":[21],"change.":[22],"While":[23],"quantitative":[24],"models":[26],"(QSMs)":[27],"using":[28,64,113,135],"terrestrial":[29],"laser":[30],"scanning":[31],"(TLS)":[32],"effectively":[33],"capture":[34],"woody":[35,96],"structures,":[36],"they":[37],"lack":[38],"capability":[40],"accurately":[42],"reconstruct":[43],"non-woody":[44],"leaf":[45,73,125,149,163,207,230,251],"components.":[46,99],"This":[47],"study":[48],"proposes":[49],"AdLeaf":[50,68,120,226],"(Accurate":[51],"Detailed":[53],"Leaf),":[54],"a":[55,185,246],"novel":[56],"approach":[57],"fine-scale":[59],"reconstruction":[60],"TLS":[65],"point":[66],"clouds.":[67],"combines":[69],"wood-leaf":[70],"separation,":[71],"segmentation,":[74],"detection":[75,208],"repair":[77],"incomplete":[79],"leaves,":[80],"explicit":[81,228],"reconstruction,":[82],"parameter":[84],"extraction.":[85],"It":[86,244],"automates":[87],"semantic":[88],"segmentation":[89,101],"at":[90,255],"scale":[93],"separate":[95],"leafy":[98],"Instance":[100],"refined":[103],"through":[104],"similarity":[105],"graphs.":[106],"Incomplete":[107,206],"are":[109],"detected":[110],"repaired":[112,215],"shape":[114],"concavity":[115],"analysis":[116,235],"symmetry-based":[118],"mirroring.":[119],"enables":[121,227],"direct":[122],"measurement":[123],"attributes,":[126],"including":[127],"count,":[128],"area,":[129],"inclination,":[130],"volume,":[131],"azimuth.":[133],"Validation":[134],"field":[136],"scans,":[137],"synthetic":[138],"data,":[139],"both":[141],"in-situ":[142],"destructive":[144],"measurements":[145,179],"shows":[146],"high":[147],"accuracy:":[148],"counting":[150],"errors":[151,209],"ranged":[152],"from":[153],"0.58%":[154],"8.23%":[156],"trees":[158],"with":[159,213],"201-4,000":[160],"leaves.":[161],"Reconstructed":[162],"geometries":[164],"had":[165],"mean":[166,198],"standard":[168],"deviations":[169],"below":[170,211],"0.83":[171],"cm":[172],"0.70":[174],"cm,":[175],"respectively.":[176],"Leaf":[177],"area":[178,216],"(10\u2013180":[180],"cm<sup":[181,203],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[182,204],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>)":[183],"achieved":[184],"coefficient":[186],"determination":[188],"(R\u00b2)":[189],"0.95,":[191],"bias":[192],"-0.20":[194],"cm\u00b2,":[195],"root":[197],"square":[199],"error":[200],"5.63":[202],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>.":[205],"were":[210],"28%,":[212],"relative":[217],"RMSE":[218],"reduced":[219],"by":[220],"9.4%.":[221],"By":[222],"addressing":[223],"QSM":[224],"limitations,":[225],"reconstructions":[231],"that":[232],"support":[233],"detailed":[234],"canopy":[237],"light":[238],"interception,":[239],"spatial":[240],"heterogeneity,":[241],"photosynthesis.":[243],"provides":[245],"robust":[247],"framework":[248],"linking":[250],"level,":[258],"advancing":[259],"radiative":[263],"transfer":[264],"research.":[265]},"counts_by_year":[],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}
