{"id":"https://openalex.org/W4384202868","doi":"https://doi.org/10.3390/s23146322","title":"MJ-GAN: Generative Adversarial Network with Multi-Grained Feature Extraction and Joint Attention Fusion for Infrared and Visible Image Fusion","display_name":"MJ-GAN: Generative Adversarial Network with Multi-Grained Feature Extraction and Joint Attention Fusion for Infrared and Visible Image Fusion","publication_year":2023,"publication_date":"2023-07-12","ids":{"openalex":"https://openalex.org/W4384202868","doi":"https://doi.org/10.3390/s23146322","pmid":"https://pubmed.ncbi.nlm.nih.gov/37514617"},"language":"en","primary_location":{"id":"doi:10.3390/s23146322","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146322","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6322/pdf?version=1689141553","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/14/6322/pdf?version=1689141553","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059437828","display_name":"Danqing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danqing Yang","raw_affiliation_strings":["School of Optoelectronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Optoelectronic Engineering, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Optoelectronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Optoelectronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658025","display_name":"Xiaorui Wang","orcid":"https://orcid.org/0000-0002-9735-7094"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaorui Wang","raw_affiliation_strings":["School of Optoelectronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Optoelectronic Engineering, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Optoelectronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Optoelectronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001550899","display_name":"Naibo Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naibo Zhu","raw_affiliation_strings":["Research Institute of System Engineering, PLA Academy of Military Science, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of System Engineering, PLA Academy of Military Science, Beijing 100091, China","institution_ids":["https://openalex.org/I4210158522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415892","display_name":"Shuang Li","orcid":"https://orcid.org/0000-0001-9142-5036"},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Li","raw_affiliation_strings":["Research Institute of System Engineering, PLA Academy of Military Science, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of System Engineering, PLA Academy of Military Science, Beijing 100091, China","institution_ids":["https://openalex.org/I4210158522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057331941","display_name":"Na Hou","orcid":"https://orcid.org/0009-0001-1195-9431"},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Hou","raw_affiliation_strings":["Research Institute of System Engineering, PLA Academy of Military Science, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of System Engineering, PLA Academy of Military Science, Beijing 100091, China","institution_ids":["https://openalex.org/I4210158522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100658025"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.8102,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75667523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":"14","first_page":"6322","last_page":"6322"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9926000237464905,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7476186752319336},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7254248857498169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6827743053436279},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6343238949775696},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5967074036598206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5627897381782532},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5537291765213013},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5432457327842712},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4647243618965149},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4199822247028351},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4151892066001892},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41186216473579407},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.21704339981079102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476186752319336},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7254248857498169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6827743053436279},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6343238949775696},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5967074036598206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5627897381782532},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5537291765213013},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5432457327842712},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4647243618965149},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4199822247028351},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4151892066001892},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41186216473579407},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.21704339981079102},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23146322","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146322","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6322/pdf?version=1689141553","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:37514617","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37514617","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10385123","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10385123","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10385123/pdf/sensors-23-06322.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:96959f6dc032492da169dd8450a32190","is_oa":true,"landing_page_url":"https://doaj.org/article/96959f6dc032492da169dd8450a32190","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":"Sensors, Vol 23, Iss 14, p 6322 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/14/6322/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23146322","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 14; Pages: 6322","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23146322","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146322","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6322/pdf?version=1689141553","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384202868.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1628236353","https://openalex.org/W1708141795","https://openalex.org/W1964641132","https://openalex.org/W1965606870","https://openalex.org/W1970885904","https://openalex.org/W1990250903","https://openalex.org/W1997596006","https://openalex.org/W2002285735","https://openalex.org/W2059193044","https://openalex.org/W2113494422","https://openalex.org/W2133665775","https://openalex.org/W2146353910","https://openalex.org/W2153777140","https://openalex.org/W2463565445","https://openalex.org/W2474462684","https://openalex.org/W2532801510","https://openalex.org/W2576508765","https://openalex.org/W2596025968","https://openalex.org/W2624240493","https://openalex.org/W2735436330","https://openalex.org/W2761534666","https://openalex.org/W2772136803","https://openalex.org/W2798018774","https://openalex.org/W2798987894","https://openalex.org/W2809795042","https://openalex.org/W2912147220","https://openalex.org/W2950648852","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963495494","https://openalex.org/W2963530785","https://openalex.org/W2971071255","https://openalex.org/W2998012573","https://openalex.org/W3016744618","https://openalex.org/W3030921250","https://openalex.org/W3088256290","https://openalex.org/W3092444386","https://openalex.org/W3096041260","https://openalex.org/W3102515681","https://openalex.org/W3105639468","https://openalex.org/W3107998196","https://openalex.org/W3108042295","https://openalex.org/W3110670586","https://openalex.org/W3158080681","https://openalex.org/W3161010852","https://openalex.org/W3162950802","https://openalex.org/W3183430956","https://openalex.org/W3194077607","https://openalex.org/W3206506760","https://openalex.org/W3216678721","https://openalex.org/W4313576996","https://openalex.org/W6772581090","https://openalex.org/W6783532966","https://openalex.org/W6787015245"],"related_works":["https://openalex.org/W2970216048","https://openalex.org/W2285052147","https://openalex.org/W3198669681","https://openalex.org/W2806866760","https://openalex.org/W3194684016","https://openalex.org/W2546942002","https://openalex.org/W2382607599","https://openalex.org/W189230578","https://openalex.org/W4320802741","https://openalex.org/W4281689716"],"abstract_inverted_index":{"The":[0,119,167,223],"challenging":[1],"issues":[2],"in":[3,21,29,36,83,89,124,129,181,192,258],"infrared":[4,37,207],"and":[5,12,32,53,74,86,99,145,172,210,234,262],"visible":[6,30,215],"image":[7,143,191,203],"fusion":[8,40,51,75,102],"(IVIF)":[9],"are":[10,122],"extracting":[11],"fusing":[13],"as":[14,18],"much":[15],"useful":[16],"information":[17,72,209,217,236],"possible":[19],"contained":[20],"the":[22,26,33,49,54,68,81,115,125,141,158,162,178,189,205,238,251],"source":[23,142],"images,":[24],"namely,":[25],"rich":[27],"textures":[28,85],"images":[31],"significant":[34],"contrast":[35,235],"images.":[38,91],"Existing":[39],"methods":[41],"cannot":[42],"address":[43],"this":[44,64],"problem":[45],"well":[46],"due":[47],"to":[48,79,134,160,237],"handcrafted":[50],"operations":[52],"extraction":[55,73,97],"of":[56,70,117,214],"features":[57,139,174],"only":[58],"from":[59,76,140],"a":[60,94,108,130,182,193,200,211,219],"single":[61,220],"scale.":[62],"In":[63],"work,":[65],"we":[66,197],"solve":[67],"problems":[69],"insufficient":[71],"another":[77],"perspective":[78],"overcome":[80],"difficulties":[82],"lacking":[84],"unhighlighted":[87],"targets":[88],"fused":[90,190,202,240],"We":[92],"propose":[93],"multi-scale":[95],"feature":[96,183],"(MFE)":[98],"joint":[100],"attention":[101],"(JAF)":[103],"based":[104],"end-to-end":[105],"method":[106,253],"using":[107],"generative":[109],"adversarial":[110],"network":[111,180],"(MJ-GAN)":[112],"framework":[113],"for":[114,170],"aim":[116],"IVIF.":[118],"MFE":[120],"modules":[121],"embedded":[123],"two-stream":[126],"structure-based":[127],"generator":[128],"densely":[131],"connected":[132],"manner":[133],"comprehensively":[135],"extract":[136],"multi-grained":[137,165],"deep":[138],"pairs":[144],"reuse":[146],"them":[147],"during":[148],"reconstruction.":[149],"Moreover,":[150],"an":[151],"improved":[152],"self-attention":[153],"structure":[154],"is":[155,175],"introduced":[156],"into":[157],"MFEs":[159],"enhance":[161],"pertinence":[163],"among":[164],"features.":[166],"merging":[168],"procedure":[169],"salient":[171],"important":[173],"conducted":[176],"via":[177,218],"JAF":[179],"recalibration":[184],"manner,":[185],"which":[186],"also":[187],"produces":[188],"reasonable":[194],"manner.":[195],"Eventually,":[196],"can":[198,230],"reconstruct":[199],"primary":[201],"with":[204,226,266],"major":[206],"radiometric":[208],"small":[212],"amount":[213],"texture":[216,233],"decoder":[221],"network.":[222],"dual":[224],"discriminator":[225],"strong":[227],"discriminative":[228],"power":[229],"add":[231],"more":[232],"final":[239],"image.":[241],"Extensive":[242],"experiments":[243],"on":[244],"four":[245],"publicly":[246],"available":[247],"datasets":[248],"show":[249],"that":[250],"proposed":[252],"ultimately":[254],"achieves":[255],"phenomenal":[256],"performance":[257],"both":[259],"visual":[260],"quality":[261],"quantitative":[263],"assessment":[264],"compared":[265],"nine":[267],"leading":[268],"algorithms.":[269]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}