{"id":"https://openalex.org/W4402264155","doi":"https://doi.org/10.1109/igarss53475.2024.10641289","title":"Individual Tree Crown Delineation Based on Deep Learning for Arid Areas Using High-Resolution Satellite Imagery","display_name":"Individual Tree Crown Delineation Based on Deep Learning for Arid Areas Using High-Resolution Satellite Imagery","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402264155","doi":"https://doi.org/10.1109/igarss53475.2024.10641289"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641289","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114221505","display_name":"Jinzhuang Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4405265946","display_name":"International Research Center of Big Data for Sustainable Development Goals","ror":"https://ror.org/027n0k361","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I19820366","https://openalex.org/I4405265946"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinzhuang Shi","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals,Beijing,China,100094","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I4405265946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647778","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-9275-5408"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4405265946","display_name":"International Research Center of Big Data for Sustainable Development Goals","ror":"https://ror.org/027n0k361","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I19820366","https://openalex.org/I4405265946"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals,Beijing,China,100094","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I4405265946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100532380","display_name":"Yuanyuan Lin","orcid":"https://orcid.org/0009-0007-9222-0260"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Lin","raw_affiliation_strings":["China University of Geosciences,School of Earth Sciences and Resources,Beijing,China,100083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Geosciences,School of Earth Sciences and Resources,Beijing,China,100083","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107852476","display_name":"Linhai Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4405265946","display_name":"International Research Center of Big Data for Sustainable Development Goals","ror":"https://ror.org/027n0k361","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I19820366","https://openalex.org/I4405265946"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhai Jing","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals,Beijing,China,100094","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I4405265946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008443095","display_name":"Kongwen Zhang","orcid":"https://orcid.org/0000-0001-7570-9805"},"institutions":[{"id":"https://openalex.org/I170606269","display_name":"University of the Fraser Valley","ror":"https://ror.org/04h6w7946","country_code":"CA","type":"education","lineage":["https://openalex.org/I170606269"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kongwen Zhang","raw_affiliation_strings":["University of the Fraser Valley,School of Computing,Abbotsford,Canada,V2S 7M7"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Fraser Valley,School of Computing,Abbotsford,Canada,V2S 7M7","institution_ids":["https://openalex.org/I170606269"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22742827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"5231","last_page":"5234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9977999925613403,"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/T12729","display_name":"Tree Root and Stability Studies","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crown","display_name":"Crown (dentistry)","score":0.7059511542320251},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6871439218521118},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.6678575873374939},{"id":"https://openalex.org/keywords/arid","display_name":"Arid","score":0.6478745937347412},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6242588758468628},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5317486524581909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48616501688957214},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46320071816444397},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.41596096754074097},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41566652059555054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40536805987358093},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2843741178512573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0848630964756012},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06945869326591492}],"concepts":[{"id":"https://openalex.org/C2778400979","wikidata":"https://www.wikidata.org/wiki/Q143720","display_name":"Crown (dentistry)","level":2,"score":0.7059511542320251},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6871439218521118},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.6678575873374939},{"id":"https://openalex.org/C150772632","wikidata":"https://www.wikidata.org/wiki/Q1330709","display_name":"Arid","level":2,"score":0.6478745937347412},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6242588758468628},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5317486524581909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48616501688957214},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46320071816444397},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.41596096754074097},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41566652059555054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40536805987358093},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2843741178512573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0848630964756012},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06945869326591492},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641289","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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":9,"referenced_works":["https://openalex.org/W2767814567","https://openalex.org/W2791598887","https://openalex.org/W2963150697","https://openalex.org/W2991424587","https://openalex.org/W3115194765","https://openalex.org/W3127719528","https://openalex.org/W3175739619","https://openalex.org/W4200272550","https://openalex.org/W4213059695"],"related_works":["https://openalex.org/W2249491925","https://openalex.org/W2385855844","https://openalex.org/W2358296458","https://openalex.org/W3003911445","https://openalex.org/W2367225526","https://openalex.org/W15285571","https://openalex.org/W2141204001","https://openalex.org/W2124264691","https://openalex.org/W574916529","https://openalex.org/W2903740016"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"explored":[4],"the":[5,8,27,41,44,94,120,135,144],"potential":[6],"of":[7,43,97,108,139],"individual":[9,15,60,86,109],"tree":[10,16,61,87,110,132],"crown":[11],"(ITC)":[12],"delineation":[13,55,99,137],"and":[14,58,76,79,117,143],"species":[17,62,88,111,133],"classification":[18,112,122],"using":[19,22,100],"deep":[20],"learning":[21],"a":[23,35],"Worldview-3":[24],"scene":[25],"covering":[26],"Wushen":[28],"Banner":[29],"area,":[30],"Ordos":[31],"City,":[32],"where":[33],"is":[34],"typical":[36],"arid":[37],"region":[38],"located":[39],"in":[40],"hinterland":[42],"Mu":[45],"Us":[46],"Desert.":[47],"Combined":[48],"with":[49],"field":[50],"survey":[51],"data,":[52],"an":[53,59],"ITC":[54,74,98,136],"sample":[56,63],"set":[57,64],"were":[65,83,114,147],"established.":[66],"The":[67,90,105,124],"Mask":[68],"R-CNN":[69,102],"model":[70,127],"was":[71,128],"employed":[72,129],"for":[73,85],"delineation,":[75],"ResNet-18,":[77],"GoogLeNet,":[78],"DenseNet-40":[80],"network":[81],"models":[82,113],"considered":[84],"classification.":[89],"results":[91,138],"showed":[92],"that":[93],"highest":[95,121],"accuracy":[96],"MASK":[101],"reached":[103],"78.9%.":[104],"training":[106],"accuracies":[107,146],"above":[115],"90%,":[116],"ResNet-18":[118,126],"achieved":[119],"accuracy.":[123],"trained":[125],"to":[130],"classify":[131],"from":[134],"two":[140],"testing":[141],"images,":[142],"overall":[145],"higher":[148],"than":[149],"90%.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
