{"id":"https://openalex.org/W4396982246","doi":"https://doi.org/10.1109/tgrs.2024.3402058","title":"MFT-GAN: A Multiscale Feature-Guided Transformer Network for Unsupervised Hyperspectral Pansharpening","display_name":"MFT-GAN: A Multiscale Feature-Guided Transformer Network for Unsupervised Hyperspectral Pansharpening","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396982246","doi":"https://doi.org/10.1109/tgrs.2024.3402058"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3402058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3402058","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5079020350","display_name":"Yanli Shang","orcid":"https://orcid.org/0000-0003-1687-2498"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Shang","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0003-1687-2498","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018617993","display_name":"Jianjun Liu","orcid":"https://orcid.org/0000-0003-0778-9094"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Liu","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0003-0778-9094","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102704943","display_name":"Jingyi Zhang","orcid":"https://orcid.org/0009-0002-2656-2063"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Zhang","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0009-0002-2656-2063","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebin Wu","raw_affiliation_strings":["School of Computer Science, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7162-0202","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1521,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95838655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"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":0.9994000196456909,"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":0.9944000244140625,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8707585334777832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5434756875038147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.52684086561203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061983466148376},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4904191195964813},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44158458709716797},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4285306930541992},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.41365665197372437},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21346554160118103},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08443796634674072}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8707585334777832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5434756875038147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52684086561203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061983466148376},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4904191195964813},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44158458709716797},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4285306930541992},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.41365665197372437},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21346554160118103},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08443796634674072},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3402058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3402058","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G290338588","display_name":null,"funder_award_id":"JUSRP221026","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2923923988","display_name":null,"funder_award_id":"62071204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4536002861","display_name":null,"funder_award_id":"BK20201338","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1940108662","https://openalex.org/W1963659868","https://openalex.org/W1990231296","https://openalex.org/W1991460509","https://openalex.org/W2001298023","https://openalex.org/W2001800591","https://openalex.org/W2020442368","https://openalex.org/W2021046129","https://openalex.org/W2029316659","https://openalex.org/W2054440797","https://openalex.org/W2106891293","https://openalex.org/W2112693869","https://openalex.org/W2139529730","https://openalex.org/W2144436897","https://openalex.org/W2151794184","https://openalex.org/W2154789478","https://openalex.org/W2159269332","https://openalex.org/W2163886442","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2194775991","https://openalex.org/W2294492906","https://openalex.org/W2512351403","https://openalex.org/W2514340250","https://openalex.org/W2785678896","https://openalex.org/W2887695188","https://openalex.org/W2947263797","https://openalex.org/W2952716587","https://openalex.org/W2963442801","https://openalex.org/W3004925702","https://openalex.org/W3008911924","https://openalex.org/W3023991509","https://openalex.org/W3034461890","https://openalex.org/W3043719198","https://openalex.org/W3044477028","https://openalex.org/W3048794210","https://openalex.org/W3097353710","https://openalex.org/W3099258777","https://openalex.org/W3099608030","https://openalex.org/W3099843321","https://openalex.org/W3102912004","https://openalex.org/W3107490592","https://openalex.org/W3124561108","https://openalex.org/W3137191419","https://openalex.org/W3138516171","https://openalex.org/W3139578059","https://openalex.org/W3160949528","https://openalex.org/W3165892790","https://openalex.org/W3172472472","https://openalex.org/W3176195847","https://openalex.org/W3192524834","https://openalex.org/W3200410745","https://openalex.org/W3204169305","https://openalex.org/W3208146808","https://openalex.org/W3213530674","https://openalex.org/W4225982893","https://openalex.org/W4226507018","https://openalex.org/W4283815286","https://openalex.org/W4289752563","https://openalex.org/W4295521014","https://openalex.org/W4309367935","https://openalex.org/W4312340363","https://openalex.org/W4321021932","https://openalex.org/W4321380750","https://openalex.org/W4322576316","https://openalex.org/W4323644119","https://openalex.org/W4328104974","https://openalex.org/W4366148227","https://openalex.org/W4378194624","https://openalex.org/W4381730126","https://openalex.org/W4381735996","https://openalex.org/W4385245566","https://openalex.org/W4385413338","https://openalex.org/W4385452953","https://openalex.org/W4386424895","https://openalex.org/W4387880970","https://openalex.org/W4388948873","https://openalex.org/W4392247448","https://openalex.org/W4393158343","https://openalex.org/W6735913928","https://openalex.org/W6739901393","https://openalex.org/W6748582592","https://openalex.org/W6755312952"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"Unsupervised":[0],"learning,":[1],"learning":[2],"data":[3],"distributions":[4],"without":[5],"needing":[6],"labeled":[7],"samples,":[8],"is":[9,47,57],"a":[10,38,60,67,139,144],"particularly":[11],"promising":[12],"approach":[13],"for":[14],"solving":[15],"the":[16,24,99,114,172,176,191,194],"challenging":[17],"task":[18],"of":[19,49,59,101,138,175,193],"hyperspectral":[20,85,131],"pansharpening.":[21],"Inspired":[22],"by":[23,91,120],"above,":[25],"we":[26],"introduce":[27],"an":[28],"innovative":[29],"generative":[30],"adversarial":[31,173],"network":[32,40],"framework":[33],"(named":[34],"MFT-GAN)":[35],"that":[36],"incorporates":[37],"transformer":[39,141,146],"and":[41,52,66,79,87,103,124,143,152,155,159,186],"multiscale":[42,61,110,115],"interaction":[43,69,100,111,116],"technology.":[44,112],"Specifically,":[45],"MFT-GAN":[46,177,196],"constructed":[48],"one":[50],"generator":[51,56],"two":[53],"discriminators.":[54],"The":[55,73,96,134,182],"composed":[58,137],"feature":[62,68],"guidance":[63],"branch":[64,71],"(MFGB)":[65],"fusion":[70],"(FIFB).":[72],"former":[74],"aims":[75],"at":[76,106],"extracting":[77],"spectral":[78,102,140,158],"spatial":[80,104,145,160],"information":[81,105],"branches":[82],"from":[83],"low-resolution":[84],"(LRHS)":[86],"panchromatic":[88],"(PAN)":[89],"images":[90],"convolutional":[92,122],"sampling":[93,123],"operations,":[94],"respectively.":[95],"latter":[97],"accomplishes":[98],"different":[107],"scales":[108],"through":[109],"Then,":[113],"results":[117],"are":[118,136,168],"fused":[119],"level-by-level":[121],"pixel":[125],"summation":[126],"operations":[127],"to":[128,149,170,178],"generate":[129],"high-resolution":[130],"(HRHS)":[132],"images.":[133],"discriminators":[135],"discriminator":[142],"discriminator,":[147],"designed":[148],"maintain":[150],"structural":[151],"parametric":[153],"balance":[154],"learn":[156],"long-range":[157],"correlation":[161],"relationships.":[162],"In":[163],"addition,":[164],"hybrid":[165],"loss":[166],"functions":[167],"used":[169],"complete":[171],"training":[174],"improve":[179],"its":[180],"performance.":[181],"experiments":[183],"on":[184],"simulated":[185],"real":[187],"datasets":[188],"further":[189],"demonstrated":[190],"effectiveness":[192],"proposed":[195],"method.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":3}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}