{"id":"https://openalex.org/W4389352404","doi":"https://doi.org/10.1109/jstars.2023.3339290","title":"Parallel Fusion Neural Network Considering Local and Global Semantic Information for Citrus Tree Canopy Segmentation","display_name":"Parallel Fusion Neural Network Considering Local and Global Semantic Information for Citrus Tree Canopy Segmentation","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4389352404","doi":"https://doi.org/10.1109/jstars.2023.3339290"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3339290","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3339290","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10342745.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10342745.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031680851","display_name":"Haiqing He","orcid":"https://orcid.org/0000-0001-9361-0219"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiqing He","raw_affiliation_strings":["School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, China","Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]},{"raw_affiliation_string":"Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764962","display_name":"Fuyang Zhou","orcid":"https://orcid.org/0009-0005-5394-0762"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyang Zhou","raw_affiliation_strings":["School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, China","Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]},{"raw_affiliation_string":"Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102502390","display_name":"Yuanping Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanping Xia","raw_affiliation_strings":["School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, China","Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]},{"raw_affiliation_string":"Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103055572","display_name":"Min Chen","orcid":"https://orcid.org/0000-0003-1381-7290"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Chen","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443173","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0001-8414-6346"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["School of Water Resources and Environmental Engineering, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Water Resources and Environmental Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031680851"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210119674"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.2068,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76528025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"1535","last_page":"1549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9987000226974487,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546579837799072},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.703303337097168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6122241020202637},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.49968457221984863},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49800753593444824},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4956752061843872},{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.4262534976005554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40821826457977295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3700355291366577},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.346184641122818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14378249645233154},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10134229063987732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546579837799072},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.703303337097168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122241020202637},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.49968457221984863},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49800753593444824},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4956752061843872},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.4262534976005554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40821826457977295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3700355291366577},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.346184641122818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14378249645233154},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10134229063987732},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3339290","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3339290","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10342745.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a5d02096f4594a4f8ce2bb756a3fb2e1","is_oa":true,"landing_page_url":"https://doaj.org/article/a5d02096f4594a4f8ce2bb756a3fb2e1","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1535-1549 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3339290","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3339290","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10342745.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2127012759","display_name":null,"funder_award_id":"41861062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2564820322","display_name":null,"funder_award_id":"42174055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2715966390","display_name":null,"funder_award_id":"42261075","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3425285751","display_name":null,"funder_award_id":"2022-02","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6258415954","display_name":null,"funder_award_id":"Chinese","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6280009039","display_name":null,"funder_award_id":"2022-02-04","funder_id":"https://openalex.org/F5607946274","funder_display_name":"Chinese Academy of Surveying and Mapping"},{"id":"https://openalex.org/G6391975185","display_name":null,"funder_award_id":"DHYC-202327","funder_id":"https://openalex.org/F4320326860","funder_display_name":"East China Institute of Technology"},{"id":"https://openalex.org/G7030986681","display_name":null,"funder_award_id":"20224ACB212003","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7041343695","display_name":null,"funder_award_id":"42074005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320326860","display_name":"East China Institute of Technology","ror":"https://ror.org/027385r44"},{"id":"https://openalex.org/F4320326985","display_name":"State Key Laboratory of Geo-Information Engineering","ror":null},{"id":"https://openalex.org/F5607946274","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389352404.pdf","grobid_xml":"https://content.openalex.org/works/W4389352404.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2436494909","https://openalex.org/W2477221342","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2630837129","https://openalex.org/W2770233088","https://openalex.org/W2884585870","https://openalex.org/W2886934227","https://openalex.org/W2903052844","https://openalex.org/W2946852068","https://openalex.org/W2962914239","https://openalex.org/W2964309882","https://openalex.org/W2988389512","https://openalex.org/W3016355987","https://openalex.org/W3047385447","https://openalex.org/W3117812033","https://openalex.org/W3120513023","https://openalex.org/W3121083187","https://openalex.org/W3124539583","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3164208409","https://openalex.org/W3170841864","https://openalex.org/W3170863103","https://openalex.org/W3175739619","https://openalex.org/W3177052299","https://openalex.org/W3182315975","https://openalex.org/W3192247133","https://openalex.org/W3200870516","https://openalex.org/W3202923600","https://openalex.org/W3204166336","https://openalex.org/W4205365435","https://openalex.org/W4214893857","https://openalex.org/W4224269597","https://openalex.org/W4283590549","https://openalex.org/W4285290151","https://openalex.org/W4293067022","https://openalex.org/W4297810817","https://openalex.org/W4313007769","https://openalex.org/W4362519158","https://openalex.org/W4388742700","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6753038380","https://openalex.org/W6784333009","https://openalex.org/W6790275670","https://openalex.org/W6793164127","https://openalex.org/W6795463671","https://openalex.org/W6796761347"],"related_works":["https://openalex.org/W2776826689","https://openalex.org/W2145484806","https://openalex.org/W2099745724","https://openalex.org/W2348653124","https://openalex.org/W2089908184","https://openalex.org/W2392270594","https://openalex.org/W2156453104","https://openalex.org/W2773541276","https://openalex.org/W2389430001","https://openalex.org/W2478696000"],"abstract_inverted_index":{"Existing":[0],"convolutional":[1],"neural":[2,50],"network":[3,51],"(CNN)-based":[4],"methods":[5,168,181],"usually":[6],"tend":[7],"to":[8,92,113,127,179],"ignore":[9,30],"the":[10,31,39,77,102,115,129,161,183],"contextual":[11,116],"information":[12,58,97,117],"for":[13,59,152],"citrus":[14,35,60,99,123,153],"tree":[15,36,61,124,132,154],"canopy":[16,62,143,155],"segmentation.":[17,156],"Although":[18],"popular":[19],"Transformer":[20,174],"models":[21],"are":[22,68,150],"helpful":[23],"in":[24],"extracting":[25],"global":[26,56,96],"semantic":[27,57],"information,":[28],"they":[29],"edge":[32,120],"details":[33,121],"between":[34,131],"canopies":[37,133],"and":[38,55,87,95,118,134,142,176],"background.":[40],"To":[41],"address":[42],"these":[43],"issues,":[44],"we":[45,106],"propose":[46],"a":[47,81,108],"parallel":[48,82],"fusion":[49,104,111],"considering":[52],"both":[53],"local":[54,94,119],"segmentation":[63],"from":[64],"3D":[65,137],"data,":[66],"which":[67],"derived":[69,146],"by":[70,85,147],"unmanned":[71],"aerial":[72],"vehicle":[73],"(UAV)":[74],"mapping.":[75],"In":[76,101],"feature":[78,103],"extraction":[79],"stage,":[80,105],"architecture,":[83],"concatenated":[84],"EfficientNet-V2":[86],"CSwin":[88],"Transformer,":[89],"is":[90,177],"used":[91],"extract":[93],"of":[98,122,187],"trees.":[100],"design":[107],"coordinate":[109],"attention-based":[110],"module":[112],"retain":[114],"canopies.":[125],"Additionally,":[126],"exaggerate":[128],"exclusivity":[130],"complex":[135],"backgrounds,":[136],"data":[138],"incorporating":[139],"RGB":[140],"imagery":[141],"height":[144],"model":[145],"UAV":[148],"photogrammetry":[149],"generated":[151],"Experimental":[157],"results":[158],"indicate":[159],"that":[160],"proposed":[162],"method":[163],"performs":[164],"considerably":[165],"better":[166],"than":[167],"based":[169],"only":[170],"on":[171],"CNN":[172],"or":[173],"models,":[175],"superior":[178],"state-of-the-art":[180],"(e.g.,":[182],"highest":[184],"mIoU":[185],"score":[186],"93.46%).":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}