{"id":"https://openalex.org/W4411055320","doi":"https://doi.org/10.1109/jstars.2025.3576780","title":"Feature Fusion to Improve YOLOv8 for Segmenting and Classifying Aerial Images of Tree Crowns","display_name":"Feature Fusion to Improve YOLOv8 for Segmenting and Classifying Aerial Images of Tree Crowns","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411055320","doi":"https://doi.org/10.1109/jstars.2025.3576780"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3576780","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3576780","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/jstars.2025.3576780","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102705728","display_name":"Ziyi Sun","orcid":"https://orcid.org/0000-0002-2011-4553"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ziyi Sun","raw_affiliation_strings":["Center for Data Science and Artificial Intelligence &amp; School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":"https://orcid.org/0000-0002-2011-4553","affiliations":[{"raw_affiliation_string":"Center for Data Science and Artificial Intelligence &amp; School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077569089","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0002-4865-8026"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bing Xue","raw_affiliation_strings":["Center for Data Science and Artificial Intelligence &amp; School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":"https://orcid.org/0000-0002-4865-8026","affiliations":[{"raw_affiliation_string":"Center for Data Science and Artificial Intelligence &amp; School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400258","display_name":"Mengjie Zhang","orcid":"https://orcid.org/0000-0003-4463-9538"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Center for Data Science and Artificial Intelligence &amp; School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":"https://orcid.org/0000-0003-4463-9538","affiliations":[{"raw_affiliation_string":"Center for Data Science and Artificial Intelligence &amp; School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006200782","display_name":"Jan Schindler","orcid":"https://orcid.org/0000-0002-0457-4357"},"institutions":[{"id":"https://openalex.org/I86609021","display_name":"Manaaki Whenua \u2013 Landcare Research","ror":"https://ror.org/02p9cyn66","country_code":"NZ","type":"government","lineage":["https://openalex.org/I4405260297","https://openalex.org/I86609021"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Jan Schindler","raw_affiliation_strings":["Manaaki Whenua-Landcare Research, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manaaki Whenua-Landcare Research, Wellington, New Zealand","institution_ids":["https://openalex.org/I86609021"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.2652,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86858974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"18","issue":null,"first_page":"14752","last_page":"14765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9925000071525574,"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":0.9925000071525574,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6907658576965332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629469394683838},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6538194417953491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6077175140380859},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5985441207885742},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5982024073600769},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5159226655960083},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.446250319480896},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4409253001213074},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4263666272163391},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3773239850997925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20952382683753967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17136827111244202}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6907658576965332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629469394683838},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6538194417953491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6077175140380859},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5985441207885742},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5982024073600769},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5159226655960083},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.446250319480896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4409253001213074},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4263666272163391},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3773239850997925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20952382683753967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17136827111244202},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3576780","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3576780","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:c35e585f574342629da9a47babb82f62","is_oa":true,"landing_page_url":"https://doaj.org/article/c35e585f574342629da9a47babb82f62","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 14752-14765 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3576780","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3576780","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2287789805","https://openalex.org/W2538659350","https://openalex.org/W2565639579","https://openalex.org/W2791852688","https://openalex.org/W2804451008","https://openalex.org/W2899748887","https://openalex.org/W2920326761","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W2968616839","https://openalex.org/W2993182889","https://openalex.org/W2994639114","https://openalex.org/W3014641072","https://openalex.org/W3034681942","https://openalex.org/W3034826836","https://openalex.org/W3034971973","https://openalex.org/W3042011474","https://openalex.org/W3043995050","https://openalex.org/W3046083520","https://openalex.org/W3047401433","https://openalex.org/W3094837421","https://openalex.org/W3096609285","https://openalex.org/W3106546328","https://openalex.org/W3113410735","https://openalex.org/W3134487321","https://openalex.org/W3175630421","https://openalex.org/W3205337742","https://openalex.org/W4200608469","https://openalex.org/W4214613769","https://openalex.org/W4226334005","https://openalex.org/W4285295475","https://openalex.org/W4295832403","https://openalex.org/W4309337720","https://openalex.org/W4312443924","https://openalex.org/W4312820606","https://openalex.org/W4317254693","https://openalex.org/W4323313924","https://openalex.org/W4362608104","https://openalex.org/W4372218898","https://openalex.org/W4378574635","https://openalex.org/W4385988861","https://openalex.org/W4386071535","https://openalex.org/W4386072454","https://openalex.org/W4386076325","https://openalex.org/W4386418433","https://openalex.org/W4388333132","https://openalex.org/W4389279488","https://openalex.org/W4389352554","https://openalex.org/W4389610595","https://openalex.org/W4390872670","https://openalex.org/W4403332093","https://openalex.org/W4403770406","https://openalex.org/W6755977528","https://openalex.org/W6764322716","https://openalex.org/W6784930956","https://openalex.org/W6809665764","https://openalex.org/W6839692567","https://openalex.org/W6843239693","https://openalex.org/W6847876731","https://openalex.org/W6868582632","https://openalex.org/W6893711219"],"related_works":["https://openalex.org/W1989735375","https://openalex.org/W2034727732","https://openalex.org/W2127305659","https://openalex.org/W2050609384","https://openalex.org/W2054964223","https://openalex.org/W1992574978","https://openalex.org/W2901309398","https://openalex.org/W2064075093","https://openalex.org/W2099421762","https://openalex.org/W2530546662"],"abstract_inverted_index":{"Instance":[0],"segmentation":[1,69,113,151],"techniques":[2],"based":[3,88,99],"on":[4,89,100,183],"Convolutional":[5],"Neural":[6],"Networks":[7],"(CNNs)":[8],"is":[9,103],"a":[10,40,76,83,96,125,198],"vital":[11],"tool":[12,200],"for":[13,105,201],"accurately":[14],"identifying":[15],"and":[16,29,45,118,133,147,174,203],"segmenting":[17],"individual":[18],"tree":[19,47,120,185,205],"crowns,":[20],"which":[21,81],"plays":[22],"an":[23],"essential":[24],"role":[25],"in":[26,178],"environmental":[27],"monitoring":[28],"forest":[30,59],"management.":[31],"In":[32],"varied":[33],"rural":[34],"landscapes,":[35],"canopy":[36],"imagery":[37],"often":[38],"includes":[39,130],"mix":[41],"of":[42,108,114],"tiny,":[43],"small,":[44],"medium":[46],"objects":[48],"scattered":[49],"across":[50,144],"diverse":[51],"terrains,":[52],"from":[53],"standalone":[54],"trees":[55],"to":[56,66,141],"densely":[57,115],"clustered":[58],"stands.":[60],"This":[61],"variability":[62],"poses":[63],"significant":[64],"challenges":[65],"traditional":[67],"instance":[68,207],"methods.":[70],"To":[71],"achieve":[72],"this,":[73],"we":[74],"introduce":[75],"new":[77],"method":[78],"named":[79],"YOLOv8-FF,":[80],"incorporates":[82,124],"feature":[84,126],"fusion":[85,127,135],"(FF)":[86],"technique":[87],"the":[90,106,138,170,179,184],"YOLOv8":[91,101],"architecture.":[92],"We":[93,153],"first":[94],"design":[95],"network":[97],"architecture":[98],"that":[102,129,189],"optimized":[104],"characteristics":[107],"our":[109],"dataset,":[110],"enabling":[111],"effective":[112],"distributed":[116],"tiny":[117],"small":[119],"crowns.":[121],"Moreover,":[122],"YOLOv8-FF":[123,190],"mechanism":[128],"both":[131],"cross-scale":[132],"same-scale":[134],"methods,":[136],"enhancing":[137],"model's":[139],"ability":[140],"integrate":[142],"information":[143,177],"different":[145],"layers":[146],"scales,":[148],"thereby":[149],"improving":[150],"performance.":[152],"incorporate":[154],"Sparse":[155],"Large":[156],"Kernel":[157],"Network":[158],"(SLaK),":[159],"whose":[160],"large":[161],"convolution":[162],"kernel":[163],"can":[164],"effectively":[165],"extract":[166],"key":[167],"features,":[168],"helping":[169],"model":[171],"capture":[172],"richer":[173],"deeper":[175],"global":[176],"image.":[180],"Experimental":[181],"results":[182],"crown":[186,206],"dataset":[187],"demonstrate":[188],"outperforms":[191],"several":[192],"recent":[193],"peer":[194],"competitors,":[195],"making":[196],"it":[197],"promising":[199],"accurate":[202],"efficient":[204],"segmentation.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2025-10-10T00:00:00"}
