{"id":"https://openalex.org/W4409723464","doi":"https://doi.org/10.1109/tgrs.2025.3563454","title":"Feature Fusion-Guided Network With Sparse Prior Constraints for Unsupervised Hyperspectral Image Quality Improvement","display_name":"Feature Fusion-Guided Network With Sparse Prior Constraints for Unsupervised Hyperspectral Image Quality Improvement","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409723464","doi":"https://doi.org/10.1109/tgrs.2025.3563454"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3563454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3563454","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":"Feiwang Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiwang Yuan","raw_affiliation_strings":["School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454404","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-5052-5919"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["School of Computer and Information Engineering and Jiangxi Provincial Key Laboratory for High Performance Computing, Jiangxi Normal University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-5052-5919","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering and Jiangxi Provincial Key Laboratory for High Performance Computing, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024704138","display_name":"Wei He","orcid":"https://orcid.org/0000-0003-3410-0643"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei He","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3410-0643","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440528","display_name":"Jinshan Zeng","orcid":"https://orcid.org/0000-0003-1719-3358"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshan Zeng","raw_affiliation_strings":["School of Management, Xi’an Jiaotong University, Xi’an, China","School of Computer and Information Engineering and Jiangxi Provincial Key Laboratory for High Performance Computing, Jiangxi Normal University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-1719-3358","affiliations":[{"raw_affiliation_string":"School of Management, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Computer and Information Engineering and Jiangxi Provincial Key Laboratory for High Performance Computing, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0453,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.97313511,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9976000189781189,"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":0.972599983215332,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9070165157318115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6794325709342957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537052392959595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6238623857498169},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5438923835754395},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5385566353797913},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.46034669876098633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4313839375972748},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4199336767196655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40187302231788635}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9070165157318115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6794325709342957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537052392959595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6238623857498169},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5438923835754395},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5385566353797913},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.46034669876098633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4313839375972748},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4199336767196655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40187302231788635},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3563454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3563454","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/G2641375027","display_name":null,"funder_award_id":"20232ACB212001","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G3461242344","display_name":null,"funder_award_id":"20224ACB212004","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G4138776780","display_name":null,"funder_award_id":"42271370","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4987979235","display_name":null,"funder_award_id":"62376110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5667722983","display_name":null,"funder_award_id":"12471483","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/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1944540851","https://openalex.org/W1990231296","https://openalex.org/W1994040806","https://openalex.org/W2021046129","https://openalex.org/W2039596145","https://openalex.org/W2464748116","https://openalex.org/W2611452721","https://openalex.org/W2615706402","https://openalex.org/W2748530166","https://openalex.org/W2773850265","https://openalex.org/W2777033955","https://openalex.org/W2790888198","https://openalex.org/W2798016471","https://openalex.org/W2908833896","https://openalex.org/W2910457605","https://openalex.org/W2910655660","https://openalex.org/W2914736033","https://openalex.org/W2941769495","https://openalex.org/W2963284277","https://openalex.org/W2964013315","https://openalex.org/W2964140612","https://openalex.org/W2964179170","https://openalex.org/W2972301798","https://openalex.org/W2998841120","https://openalex.org/W3013064625","https://openalex.org/W3036024602","https://openalex.org/W3036200672","https://openalex.org/W3042671644","https://openalex.org/W3090929676","https://openalex.org/W3097353710","https://openalex.org/W3107490592","https://openalex.org/W3132115664","https://openalex.org/W3154593456","https://openalex.org/W3160949528","https://openalex.org/W3196711624","https://openalex.org/W3198251760","https://openalex.org/W3202708053","https://openalex.org/W3204653398","https://openalex.org/W4205852334","https://openalex.org/W4285202680","https://openalex.org/W4285303509","https://openalex.org/W4288064619","https://openalex.org/W4318953520","https://openalex.org/W4364379239","https://openalex.org/W4366148227","https://openalex.org/W4379233548","https://openalex.org/W4382457956","https://openalex.org/W4383220261","https://openalex.org/W4386075872","https://openalex.org/W4386266673","https://openalex.org/W4386987742","https://openalex.org/W4387188337","https://openalex.org/W4387587777","https://openalex.org/W4390873790","https://openalex.org/W4391092611","https://openalex.org/W4391164097","https://openalex.org/W4391235300","https://openalex.org/W4391305871","https://openalex.org/W4391559302","https://openalex.org/W4392477565","https://openalex.org/W4394805154","https://openalex.org/W4395069490","https://openalex.org/W4396754382","https://openalex.org/W4401692054","https://openalex.org/W4401725555","https://openalex.org/W4402187120","https://openalex.org/W4402436632","https://openalex.org/W4402703122","https://openalex.org/W6631190155"],"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/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Due":[0],"to":[1,29,94,105,138,159,205],"imaging":[2],"hardware":[3],"limitations":[4],"and":[5,23,54,114,168,228],"atmospheric":[6],"interference,":[7],"hyperspectral":[8],"image":[9,88,124],"(HSI)":[10],"often":[11],"suffers":[12],"from":[13,85,110,125,143],"low":[14],"spatial":[15],"resolution":[16],"or":[17],"mixed":[18],"noise":[19,162],"degradation.":[20],"HSI":[21,31,226,233],"fusion":[22,227],"denoising":[24,229],"are":[25,46,131],"two":[26,129],"key":[27],"strategies":[28],"improve":[30],"quality.":[32,234],"Traditional":[33],"model-based":[34],"methods":[35,45,223],"rely":[36],"on":[37],"data-specific":[38],"manual":[39],"priors,":[40],"while":[41,89],"supervised":[42],"deep":[43,101],"learning":[44],"typically":[47],"developed":[48],"specifically":[49],"for":[50],"a":[51,56,68,76,86,100,111,134,202],"single":[52],"task":[53],"require":[55],"large":[57],"number":[58],"of":[59,176,210],"training":[60,191],"datasets.":[61],"To":[62],"address":[63],"these":[64],"limitations,":[65],"we":[66],"propose":[67],"novel":[69],"unsupervised":[70,186],"feature":[71,102,117,135,145],"fusion-guided":[72],"network":[73,104,119,180,182],"(UFFGNet)":[74],"as":[75,201],"general":[77],"prior":[78,92,155,208],"that":[79,120,217],"effectively":[80],"leverages":[81],"multi-scale":[82],"semantic":[83,108],"features":[84,109,142],"guidance":[87,112],"incorporating":[90],"sparse":[91,154,161],"constraints":[93],"suppress":[95],"outliers.":[96],"Specifically,":[97],"UFFGNet":[98,220],"comprises":[99],"extraction":[103],"capture":[106],"multiscale":[107],"image,":[113],"an":[115,122,185],"attentionbased":[116],"generation":[118,150],"generates":[121],"output":[123],"random":[126],"noise.":[127],"These":[128],"networks":[130],"connected":[132],"by":[133],"refinement":[136],"module":[137,147],"embed":[139],"the":[140,144,149,153,174,194,198,207,211,218],"refined":[141],"aggregation":[146],"into":[148],"network.":[151],"Furthermore,":[152],"constraint":[156],"is":[157],"incorporated":[158],"model":[160,200],"(including":[163],"impulse":[164],"noise,":[165],"stripe":[166],"artifacts,":[167],"deadlines)":[169],"in":[170,184,197,224],"HSI,":[171],"thereby":[172],"improving":[173,232],"robustness":[175],"UFFGNet.":[177],"The":[178],"proposed":[179,219],"optimizes":[181],"parameters":[183],"manner":[187],"without":[188],"external":[189],"additional":[190],"data,":[192],"using":[193],"fidelity":[195],"term":[196],"degradation":[199],"loss":[203],"function":[204],"learn":[206],"information":[209],"original":[212],"image.":[213],"Extensive":[214],"experiments":[215],"demonstrate":[216],"outperforms":[221],"state-of-the-art":[222],"both":[225],"tasks,":[230],"significantly":[231]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}