{"id":"https://openalex.org/W4392662226","doi":"https://doi.org/10.3390/rs16060967","title":"Evaluating the Point Cloud of Individual Trees Generated from Images Based on Neural Radiance Fields (NeRF) Method","display_name":"Evaluating the Point Cloud of Individual Trees Generated from Images Based on Neural Radiance Fields (NeRF) Method","publication_year":2024,"publication_date":"2024-03-10","ids":{"openalex":"https://openalex.org/W4392662226","doi":"https://doi.org/10.3390/rs16060967"},"language":"en","primary_location":{"id":"doi:10.3390/rs16060967","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16060967","pdf_url":"https://www.mdpi.com/2072-4292/16/6/967/pdf?version=1710050621","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/6/967/pdf?version=1710050621","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035378307","display_name":"Hongyu Huang","orcid":"https://orcid.org/0000-0001-5683-6497"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyu Huang","raw_affiliation_strings":["Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China","National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China","The Academy of Digital China (Fujian), Fuzhou 350108, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"The Academy of Digital China (Fujian), Fuzhou 350108, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111089099","display_name":"Guoji Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoji Tian","raw_affiliation_strings":["Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China","National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China","The Academy of Digital China (Fujian), Fuzhou 350108, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"The Academy of Digital China (Fujian), Fuzhou 350108, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060050761","display_name":"Chongcheng Chen","orcid":"https://orcid.org/0000-0001-5509-4188"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongcheng Chen","raw_affiliation_strings":["Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China","National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China","The Academy of Digital China (Fujian), Fuzhou 350108, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"The Academy of Digital China (Fujian), Fuzhou 350108, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035378307"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.203,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91790506,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"6","first_page":"967","last_page":"967"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994000196456909,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.6763001084327698},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4922246038913727},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.48062509298324585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4747660160064697},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4465385675430298},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43600401282310486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29247158765792847},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16651651263237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09886288642883301},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07056841254234314}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.6763001084327698},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4922246038913727},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.48062509298324585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4747660160064697},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4465385675430298},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43600401282310486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29247158765792847},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16651651263237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09886288642883301},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07056841254234314},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16060967","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16060967","pdf_url":"https://www.mdpi.com/2072-4292/16/6/967/pdf?version=1710050621","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e950cd9bd35f49ad99b7c346a34e6d10","is_oa":true,"landing_page_url":"https://doaj.org/article/e950cd9bd35f49ad99b7c346a34e6d10","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 6, p 967 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16060967","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16060967","pdf_url":"https://www.mdpi.com/2072-4292/16/6/967/pdf?version=1710050621","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392662226.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1987576771","https://openalex.org/W2113748593","https://openalex.org/W2136922672","https://openalex.org/W2160014001","https://openalex.org/W2296685749","https://openalex.org/W2471962767","https://openalex.org/W2802691920","https://openalex.org/W2957974561","https://openalex.org/W3173953657","https://openalex.org/W3203570626","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4200313684","https://openalex.org/W4221151978","https://openalex.org/W4249836439","https://openalex.org/W4285065653","https://openalex.org/W4295430325","https://openalex.org/W4295854865","https://openalex.org/W4313031684","https://openalex.org/W4366420014","https://openalex.org/W4366771022","https://openalex.org/W4378450585","https://openalex.org/W4382315630","https://openalex.org/W4384825045","https://openalex.org/W4385318467","https://openalex.org/W4386076483"],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W4321518006","https://openalex.org/W2331836163","https://openalex.org/W1994657804","https://openalex.org/W2005276308","https://openalex.org/W1970182911","https://openalex.org/W2157702764","https://openalex.org/W2508448752"],"abstract_inverted_index":{"Three-dimensional":[0],"(3D)":[1],"reconstruction":[2,80,95,120,123,139,146,224],"of":[3,24,164,169,199,206,227],"trees":[4,25],"has":[5,116,142],"always":[6],"been":[7],"a":[8,41,47,117],"key":[9],"task":[10],"in":[11,65,109,124,145],"precision":[12],"forestry":[13],"management":[14],"and":[15,27,34,81,96,128,148,163,175,214,219,225],"research.":[16],"Due":[17],"to":[18,39,151,160],"the":[19,28,68,82,104,125,136,155,182,193,203,207],"complex":[20,152,228],"branch":[21],"morphological":[22],"structure":[23],"themselves":[26],"occlusions":[29],"from":[30,46,93,181,192],"tree":[31,44,59,78,111,170,212],"stems,":[32],"branches":[33],"foliage,":[35],"it":[36,115,215],"is":[37,149,186],"difficult":[38],"recreate":[40],"complete":[42],"three-dimensional":[43],"model":[45],"two-dimensional":[48],"image":[49],"by":[50,62],"conventional":[51],"photogrammetric":[52,94,137,183],"methods.":[53,99],"In":[54],"this":[55,200],"study,":[56],"based":[57],"on":[58],"images":[60,131],"collected":[61],"various":[63],"cameras":[64],"different":[66],"ways,":[67],"Neural":[69],"Radiance":[70],"Fields":[71],"(NeRF)":[72],"method":[73,106,209],"was":[74],"used":[75],"for":[76,210,222],"individual":[77,110,211],"dense":[79,138],"exported":[83],"point":[84,90,157,184,195],"cloud":[85,158,185],"models":[86],"are":[87],"compared":[88],"with":[89,135],"clouds":[91],"derived":[92,191],"laser":[97],"scanning":[98],"The":[100,167,197],"results":[101,198],"show":[102],"that":[103],"NeRF":[105,141,194,208],"performs":[107],"well":[108],"3D":[112,223],"reconstruction,":[113,213],"as":[114,132],"higher":[118,188],"successful":[119],"rate,":[121],"better":[122],"canopy":[126],"area":[127],"requires":[129],"less":[130],"input.":[133],"Compared":[134],"method,":[140],"significant":[143],"advantages":[144],"efficiency":[147],"adaptable":[150],"scenes,":[153],"but":[154],"generated":[156],"tend":[159],"be":[161],"noisy":[162],"low":[165],"resolution.":[166],"accuracy":[168],"structural":[171],"parameters":[172],"(tree":[173],"height":[174],"diameter":[176],"at":[177],"breast":[178],"height)":[179],"extracted":[180],"still":[187],"than":[189],"those":[190],"cloud.":[196],"study":[201],"illustrate":[202],"great":[204],"potential":[205],"provides":[216],"new":[217],"ideas":[218],"research":[220],"directions":[221],"visualization":[226],"forest":[229],"scenes.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
