{"id":"https://openalex.org/W4407783701","doi":"https://doi.org/10.1109/tgrs.2025.3541561","title":"A General Cooperative Optimization Driven High-Frequency Enhancement Framework for Multispectral Image Fusion","display_name":"A General Cooperative Optimization Driven High-Frequency Enhancement Framework for Multispectral Image Fusion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407783701","doi":"https://doi.org/10.1109/tgrs.2025.3541561"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3541561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3541561","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":null,"display_name":"Chentong Huang","orcid":"https://orcid.org/0009-0007-8567-8185"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chentong Huang","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0007-8567-8185","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725527","display_name":"Junming Hou","orcid":"https://orcid.org/0000-0002-5860-5665"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junming Hou","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5860-5665","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104108190","display_name":"Chenxu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxu Wu","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688534","display_name":"Xiaofeng Cong","orcid":"https://orcid.org/0000-0001-8850-3507"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Cong","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8850-3507","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101823681","display_name":"Man Zhou","orcid":"https://orcid.org/0000-0003-2872-605X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Zhou","raw_affiliation_strings":["School of Information Science Technology, University of Science and Technology of China, Hefei, China","School of Information Science Technology, University of Science and Technology of China, HeFei, China (s:"],"raw_orcid":"https://orcid.org/0000-0003-2872-605X","affiliations":[{"raw_affiliation_string":"School of Information Science Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Information Science Technology, University of Science and Technology of China, HeFei, China (s:","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101870134","display_name":"Junling Li","orcid":"https://orcid.org/0000-0002-7104-7100"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junling Li","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7104-7100","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3212-9584","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.864,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72578675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9764000177383423,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9595000147819519,"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/image-fusion","display_name":"Image fusion","score":0.6426202058792114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.612605094909668},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5307953953742981},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42104727029800415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.396954745054245},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3379697799682617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32822781801223755},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14455357193946838}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6426202058792114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.612605094909668},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5307953953742981},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42104727029800415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.396954745054245},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3379697799682617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32822781801223755},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14455357193946838},{"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":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3541561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3541561","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/G1541561893","display_name":null,"funder_award_id":"62301151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2002366801","display_name":null,"funder_award_id":"2021A1515110949","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G2045360230","display_name":null,"funder_award_id":"2021A1515110949","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1991460509","https://openalex.org/W1996420463","https://openalex.org/W2000323021","https://openalex.org/W2112693869","https://openalex.org/W2122925692","https://openalex.org/W2123046940","https://openalex.org/W2132984323","https://openalex.org/W2142843085","https://openalex.org/W2144436897","https://openalex.org/W2149720806","https://openalex.org/W2152254169","https://openalex.org/W2171211028","https://openalex.org/W2171627515","https://openalex.org/W2296385512","https://openalex.org/W2462592242","https://openalex.org/W2539033431","https://openalex.org/W2765749804","https://openalex.org/W2766278341","https://openalex.org/W2777033955","https://openalex.org/W2935896423","https://openalex.org/W2948437909","https://openalex.org/W2963007295","https://openalex.org/W2993842823","https://openalex.org/W3096904276","https://openalex.org/W3097823560","https://openalex.org/W3120955567","https://openalex.org/W3121629662","https://openalex.org/W3172472472","https://openalex.org/W3204197760","https://openalex.org/W4225982893","https://openalex.org/W4249722514","https://openalex.org/W4283814658","https://openalex.org/W4283815286","https://openalex.org/W4288391574","https://openalex.org/W4289515279","https://openalex.org/W4294891241","https://openalex.org/W4304013729","https://openalex.org/W4304080734","https://openalex.org/W4312399981","https://openalex.org/W4312918841","https://openalex.org/W4313071068","https://openalex.org/W4318953520","https://openalex.org/W4322706739","https://openalex.org/W4378194624","https://openalex.org/W4385627215","https://openalex.org/W4386065524","https://openalex.org/W4387968013","https://openalex.org/W4387968232","https://openalex.org/W4387969438","https://openalex.org/W4388189239","https://openalex.org/W4388948873","https://openalex.org/W4389491034","https://openalex.org/W4390706297","https://openalex.org/W4391935849","https://openalex.org/W4391992568","https://openalex.org/W4393149751","https://openalex.org/W4393158343","https://openalex.org/W4399728165","https://openalex.org/W4400839928","https://openalex.org/W4402673274","https://openalex.org/W4402716266","https://openalex.org/W4402816933","https://openalex.org/W4402830369","https://openalex.org/W4403791985","https://openalex.org/W6623043969","https://openalex.org/W6631230401","https://openalex.org/W6685078114","https://openalex.org/W6754278344","https://openalex.org/W6775950665","https://openalex.org/W6798132488","https://openalex.org/W6851140293","https://openalex.org/W6862697188"],"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":{"Pan-sharpening":[0],"essentially":[1],"to":[2,145,163,258],"boost":[3],"the":[4,26,35,127,134,147,165,172,175,179,194,222,230,251],"spatial":[5],"resolution":[6],"of":[7,168,174,198,203,217,224],"a":[8,97,108,209],"multispectral":[9],"(MS)":[10],"image":[11],"guided":[12],"by":[13],"its":[14,259],"paired":[15],"panchromatic":[16],"(PAN)":[17],"image.":[18],"In":[19,76,92],"other":[20,236],"words,":[21],"this":[22,93],"process":[23],"intricately":[24],"integrates":[25],"high-frequency":[27,66,99,128,135,148,166,187,196,214],"components":[28,167],"extracted":[29],"from":[30],"texture-rich":[31,42],"PAN":[32,153,176,204],"images":[33,82,154],"into":[34],"low-resolution":[36],"(LR)":[37],"MS":[38,43,69,81,169,190,199],"images,":[39,70],"resulting":[40],"in":[41,63,68,244],"images.":[44,158,226],"Though":[45],"existing":[46],"deep":[47],"learning":[48,181],"(DL)-based":[49],"techniques":[50,239],"have":[51],"made":[52],"impressive":[53],"performance":[54],"compared":[55],"with":[56],"traditional":[57],"algorithms,":[58],"they":[59],"still":[60],"face":[61],"challenges":[62],"accurately":[64],"restoring":[65],"details":[67],"thus":[71],"limiting":[72],"overall":[73],"pan-sharpening":[74],"performance.":[75],"addition,":[77],"reference":[78,156],"high-resolution":[79],"(HR)":[80],"are":[83],"often":[84],"underutilized,":[85],"typically":[86],"serving":[87],"only":[88],"as":[89],"training":[90],"labels.":[91],"work,":[94],"we":[95,206],"present":[96],"general":[98],"enhancement":[100],"framework":[101],"for":[102],"pan-sharpening,":[103],"which":[104],"is":[105,161,265],"implemented":[106],"through":[107,178],"cooperative":[109],"optimization":[110],"strategy":[111],"using":[112],"mutual":[113],"information":[114,188],"(MI)":[115],"maximization":[116,144],"and":[117,133,155,201,212,247,254],"contrastive":[118,180],"learning.":[119],"Specifically,":[120],"our":[121],"model":[122],"comprises":[123],"two":[124,219],"fundamental":[125],"modules:":[126],"feature":[129,215],"alignment":[130],"(HFFA)":[131],"module":[132],"detail":[136],"calibration":[137],"(HFDC)":[138],"module.":[139],"The":[140,159,263],"first":[141],"employs":[142],"MI":[143],"align":[146],"semantic":[149],"statistical":[150],"distribution":[151],"between":[152],"HRMS":[157],"latter":[160],"designed":[162],"calibrate":[164],"modality":[170,200],"under":[171],"guidance":[173],"counterparts":[177],"constraint,":[182],"thereby":[183],"producing":[184],"more":[185,210],"accurate":[186],"on":[189],"modality.":[191],"By":[192],"integrating":[193],"calibrated":[195],"features":[197],"those":[202],"modality,":[205],"can":[207],"obtain":[208],"comprehensive":[211],"precise":[213],"representation":[216],"these":[218],"modalities,":[220],"facilitating":[221],"reconstruction":[223],"LRMS":[225],"Our":[227],"model,":[228],"incorporating":[229],"aforementioned":[231],"key":[232],"elements,":[233],"significantly":[234],"surpasses":[235],"state-of-the-art":[237],"(SOTA)":[238],"across":[240],"multiple":[241],"satellite":[242],"datasets":[243],"both":[245],"quantitative":[246],"qualitative":[248],"experiments.":[249],"Moreover,":[250],"real-world":[252],"full-resolution":[253],"cross-sensor":[255],"assessments":[256],"testify":[257],"exceptional":[260],"generalization":[261],"capabilities.":[262],"code":[264],"available":[266],"at":[267],"<uri":[268],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[269],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Vcocoi/CONet</uri>.":[270]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
