{"id":"https://openalex.org/W4384158838","doi":"https://doi.org/10.1109/i2mtc53148.2023.10176070","title":"DBH Extraction of Standing Trees Based on a Binocular Vision Method","display_name":"DBH Extraction of Standing Trees Based on a Binocular Vision Method","publication_year":2023,"publication_date":"2023-05-22","ids":{"openalex":"https://openalex.org/W4384158838","doi":"https://doi.org/10.1109/i2mtc53148.2023.10176070"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc53148.2023.10176070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc53148.2023.10176070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026979282","display_name":"K.Y. Fu","orcid":"https://orcid.org/0009-0006-0053-1970"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Keyi Fu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University,Tianjin,China","School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018962276","display_name":"Shihong Yue","orcid":"https://orcid.org/0000-0003-3473-2704"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihong Yue","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University,Tianjin,China","School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102534484","display_name":"Boqing Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boqing Yin","raw_affiliation_strings":["School of Forestry Engineering, Northeast Forestry University,Harbin,China","School of Forestry Engineering, Northeast Forestry University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Forestry Engineering, Northeast Forestry University,Harbin,China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"School of Forestry Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026979282"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.2512,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50086512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T11880","display_name":"Forest ecology and management","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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":0.7441368103027344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6739224195480347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5809518694877625},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4839194416999817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44966262578964233},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4355146288871765},{"id":"https://openalex.org/keywords/diameter-at-breast-height","display_name":"Diameter at breast height","score":0.42851993441581726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3611132502555847},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1515592634677887},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.1002332866191864},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07086145877838135}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7441368103027344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6739224195480347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5809518694877625},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4839194416999817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44966262578964233},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4355146288871765},{"id":"https://openalex.org/C58330081","wikidata":"https://www.wikidata.org/wiki/Q973582","display_name":"Diameter at breast height","level":2,"score":0.42851993441581726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3611132502555847},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1515592634677887},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.1002332866191864},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07086145877838135},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc53148.2023.10176070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc53148.2023.10176070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W600210939","https://openalex.org/W2039433676","https://openalex.org/W2102631394","https://openalex.org/W2104955411","https://openalex.org/W2117248802","https://openalex.org/W2137183491","https://openalex.org/W2163398834","https://openalex.org/W2167667767","https://openalex.org/W2271258538","https://openalex.org/W2318754698","https://openalex.org/W2763455760","https://openalex.org/W2790094531","https://openalex.org/W2792494805","https://openalex.org/W2913003520","https://openalex.org/W3109077063","https://openalex.org/W4246233237","https://openalex.org/W4312958778","https://openalex.org/W6618183935"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2980582925","https://openalex.org/W2184308545"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,7,22,39,72,102,107,122,160,168,206,219],"the":[3,10,20,32,53,103,112,119,126,151,158,174,178,182,185,201,220],"most":[4],"significant":[5],"metrics":[6],"forest":[8,23],"structure,":[9],"diameter":[11],"at":[12],"breast":[13],"height":[14],"(DBH)":[15],"is":[16,42,60,65,79,91,97,198,211,223],"vital":[17],"for":[18,37,135,232],"understanding":[19],"trend":[21],"carbon":[24,28],"sequestration":[25],"and":[26,49,57,85,95,125,141,163,187,191,200,225],"achieving":[27],"neutrality":[29],"goals":[30],"in":[31,93],"future.":[33],"Traditional":[34],"manual":[35],"measurement":[36,59],"DBH":[38,73,167,180,233],"standing":[40,105,169],"trees":[41,106,170],"always":[43],"limited":[44],"by":[45,118,138,144],"available":[46],"labor":[47],"force":[48],"operating":[50],"time.":[51],"And":[52],"existing":[54],"light":[55],"detection":[56],"ranging":[58],"accurate,":[61],"but":[62],"expensive":[63],"equipment":[64],"required.":[66],"In":[67],"this":[68],"paper,":[69],"a":[70],"method":[71,222],"extraction":[74],"based":[75],"on":[76,147],"binocular":[77,89],"vision":[78],"proposed":[80,221],"to":[81,99],"achieve":[82],"non-contact,":[83],"accurate":[84],"efficient":[86,230],"measurement.":[87,234],"The":[88,130,166,193,217],"camera":[90],"calibrated":[92],"advance,":[94],"thereby":[96],"used":[98],"collect":[100],"images":[101,115,132,162],"48":[104],"two":[108],"sample":[109],"plots.":[110],"Then":[111],"36":[113],"selected":[114],"are":[116,133,155,171,189],"preprocessed":[117],"filtering":[120],"means":[121],"Mean-Shift":[123],"clustering":[124],"Retinex":[127],"enhancement":[128],"algorithm.":[129],"graying":[131],"generated":[134],"disparity":[136],"maps":[137,143,154],"SGBM":[139],"algorithm":[140],"depth":[142,164],"calculation.":[145],"Based":[146],"Point":[148],"Cloud":[149],"Library,":[150],"point":[152,175],"cloud":[153],"constructed":[156],"through":[157],"combination":[159],"left":[161],"maps.":[165],"extracted":[172,179],"from":[173],"clouds.":[176],"Comparing":[177],"with":[181],"measured":[183],"DBH,":[184],"RMSE":[186],"MAE":[188],"3.13cm":[190],"3.11cm.":[192],"<tex":[194,202,207,212],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[195,203,208,213],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$R^{2}$</tex>":[196],"correlation":[197],"0.83":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$P$</tex>":[204],"-value":[205],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$F$</tex>":[209],"-test":[210],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$2.18\\times":[214],"10^{-19}$</tex>":[215],".":[216],"accuracy":[218],"compared":[224],"analyzed,":[226],"validating":[227],"it":[228],"an":[229],"approach":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}