{"id":"https://openalex.org/W4402134038","doi":"https://doi.org/10.3390/rs16173246","title":"GLFuse: A Global and Local Four-Branch Feature Extraction Network for Infrared and Visible Image Fusion","display_name":"GLFuse: A Global and Local Four-Branch Feature Extraction Network for Infrared and Visible Image Fusion","publication_year":2024,"publication_date":"2024-09-01","ids":{"openalex":"https://openalex.org/W4402134038","doi":"https://doi.org/10.3390/rs16173246"},"language":"en","primary_location":{"id":"doi:10.3390/rs16173246","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173246","pdf_url":"https://www.mdpi.com/2072-4292/16/17/3246/pdf?version=1725197457","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/2072-4292/16/17/3246/pdf?version=1725197457","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053146359","display_name":"Genping Zhao","orcid":"https://orcid.org/0000-0002-3360-1756"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genping Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111311806","display_name":"Zhuyong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuyong Hu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044612336","display_name":"Silu Feng","orcid":"https://orcid.org/0000-0001-5585-0254"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Silu Feng","raw_affiliation_strings":["School of Integrated Circuits, Guangdong University of Technology, Guangzhou 510006, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Guangdong University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007409112","display_name":"Zhuowei Wang","orcid":"https://orcid.org/0000-0001-6479-5154"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuowei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080686591","display_name":"Heng Wu","orcid":"https://orcid.org/0000-0003-0832-2218"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Wu","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou 510006, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044612336"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.8634,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87472688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"17","first_page":"3246","last_page":"3246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.8077153563499451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.707343339920044},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6252890825271606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5513666272163391},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5483940839767456},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5460774898529053},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5236004590988159},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49578914046287537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4874882698059082},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43467265367507935},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34786456823349},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06812959909439087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8077153563499451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.707343339920044},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6252890825271606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5513666272163391},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5483940839767456},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5460774898529053},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5236004590988159},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49578914046287537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4874882698059082},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43467265367507935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34786456823349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06812959909439087},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16173246","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173246","pdf_url":"https://www.mdpi.com/2072-4292/16/17/3246/pdf?version=1725197457","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:1f1151fc3ae14a70b03d5765556edf80","is_oa":true,"landing_page_url":"https://doaj.org/article/1f1151fc3ae14a70b03d5765556edf80","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 17, p 3246 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16173246","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173246","pdf_url":"https://www.mdpi.com/2072-4292/16/17/3246/pdf?version=1725197457","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":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2637155237","display_name":null,"funder_award_id":"32102078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","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/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/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5912919646","display_name":null,"funder_award_id":"2024A1515010036","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"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/G6809183074","display_name":null,"funder_award_id":"Project No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7286866063","display_name":null,"funder_award_id":"51501003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402134038.pdf"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W1708141795","https://openalex.org/W1964641132","https://openalex.org/W1997596006","https://openalex.org/W2054273865","https://openalex.org/W2056346283","https://openalex.org/W2074907730","https://openalex.org/W2091484864","https://openalex.org/W2094162745","https://openalex.org/W2133135191","https://openalex.org/W2153777140","https://openalex.org/W2331128040","https://openalex.org/W2532801510","https://openalex.org/W2568836762","https://openalex.org/W2624240493","https://openalex.org/W2774839435","https://openalex.org/W2798987894","https://openalex.org/W2809795042","https://openalex.org/W2912147220","https://openalex.org/W2914139557","https://openalex.org/W2961348656","https://openalex.org/W2963037989","https://openalex.org/W2963787388","https://openalex.org/W2998012573","https://openalex.org/W2998529071","https://openalex.org/W3011768656","https://openalex.org/W3030921250","https://openalex.org/W3035467948","https://openalex.org/W3039415429","https://openalex.org/W3046194589","https://openalex.org/W3087893884","https://openalex.org/W3096609285","https://openalex.org/W3102411220","https://openalex.org/W3104771364","https://openalex.org/W3105639468","https://openalex.org/W3119686997","https://openalex.org/W3127812914","https://openalex.org/W3133700567","https://openalex.org/W3143068962","https://openalex.org/W3172509117","https://openalex.org/W3177052299","https://openalex.org/W3190808861","https://openalex.org/W3204166336","https://openalex.org/W3204801262","https://openalex.org/W3207918547","https://openalex.org/W3211490618","https://openalex.org/W4206713196","https://openalex.org/W4210814385","https://openalex.org/W4220893768","https://openalex.org/W4226077544","https://openalex.org/W4226272127","https://openalex.org/W4282559325","https://openalex.org/W4283732315","https://openalex.org/W4285186389","https://openalex.org/W4285224173","https://openalex.org/W4306173853","https://openalex.org/W4306174002","https://openalex.org/W4312594135","https://openalex.org/W4313479110","https://openalex.org/W4313555022","https://openalex.org/W4315652215","https://openalex.org/W4317908141","https://openalex.org/W4360978940","https://openalex.org/W4362671755","https://openalex.org/W4376131895","https://openalex.org/W4385245566","https://openalex.org/W4386083029","https://openalex.org/W4388706355","https://openalex.org/W4389491034","https://openalex.org/W4390872797","https://openalex.org/W4396923421","https://openalex.org/W4400132802","https://openalex.org/W6637925188","https://openalex.org/W6739901393","https://openalex.org/W6772581090","https://openalex.org/W6772718654","https://openalex.org/W6797399245","https://openalex.org/W6805147364","https://openalex.org/W6839504649","https://openalex.org/W6840119424","https://openalex.org/W6864450276"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272","https://openalex.org/W1989561795"],"abstract_inverted_index":{"Infrared":[0],"and":[1,22,59,70,96,140,194,215],"visible":[2],"image":[3,75],"fusion":[4,29,53,62,76,130,152],"integrates":[5],"complementary":[6],"information":[7,18,164,193,202],"from":[8,48,155,169],"different":[9,49,156,170,175],"modalities":[10,50],"into":[11],"a":[12,68,113,178,184,230],"single":[13],"image,":[14],"providing":[15],"sufficient":[16],"imaging":[17],"for":[19],"scene":[20,40,191],"interpretation":[21],"downstream":[23,225],"target":[24,226],"recognition":[25],"tasks.":[26],"However,":[27],"existing":[28],"methods":[30],"often":[31],"focus":[32],"only":[33],"on":[34,229],"highlighting":[35],"salient":[36,196],"targets":[37,197],"or":[38],"preserving":[39],"details,":[41],"failing":[42],"to":[43,102,120,149,182,188],"effectively":[44,223],"combine":[45],"entire":[46],"features":[47,58,105,123,154],"during":[51],"the":[52,84,107,110,125,133,141,161,174,200],"process,":[54],"resulting":[55],"in":[56,106,124,212],"underutilized":[57],"poor":[60],"overall":[61],"effects.":[63],"To":[64],"address":[65],"these":[66],"challenges,":[67],"global":[69,104],"local":[71,122],"four-branch":[72],"feature":[73,129,166],"extraction":[74],"network":[77,179],"(GLFuse)":[78],"is":[79,91,100,118,180],"proposed.":[80],"On":[81,109],"one":[82],"hand,":[83,112],"Super":[85],"Token":[86],"Transformer":[87],"(STT)":[88],"block,":[89],"which":[90],"capable":[92],"of":[93,153,165,177],"rapidly":[94],"sampling":[95],"predicting":[97],"super":[98],"tokens,":[99],"utilized":[101],"capture":[103],"scene.":[108,126],"other":[111],"Detail":[114],"Extraction":[115],"Block":[116],"(DEB)":[117],"developed":[119],"extract":[121],"Additionally,":[127],"two":[128],"modules,":[131],"namely":[132],"Attention-based":[134],"Feature":[135],"Selection":[136],"Fusion":[137,144],"Module":[138,145],"(ASFM)":[139],"Dual":[142],"Attention":[143],"(DAFM),":[146],"are":[147],"designed":[148],"facilitate":[150],"selective":[151],"modalities.":[157],"Of":[158],"more":[159],"importance,":[160],"various":[162],"perceptual":[163,185,201],"maps":[167],"learned":[168],"modality":[171],"images":[172],"at":[173],"layers":[176],"investigated":[181],"design":[183],"loss":[186],"function":[187],"better":[189],"restore":[190],"detail":[192],"highlight":[195],"by":[198],"treating":[199],"separately.":[203],"Extensive":[204],"experiments":[205],"confirm":[206],"that":[207,221],"GLFuse":[208,222],"exhibits":[209],"excellent":[210],"performance":[211,228],"both":[213],"subjective":[214],"objective":[216],"evaluations.":[217],"It":[218],"deserves":[219],"note":[220],"improves":[224],"detection":[227],"unified":[231],"benchmark.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-20T07:46:08.049788","created_date":"2025-10-10T00:00:00"}