{"id":"https://openalex.org/W4399658437","doi":"https://doi.org/10.1145/3641584.3641681","title":"An Online Residual Learning Method for Hyperpsepctral Image Resolution Enhancement","display_name":"An Online Residual Learning Method for Hyperpsepctral Image Resolution Enhancement","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399658437","doi":"https://doi.org/10.1145/3641584.3641681"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641681","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100613653","display_name":"Chen Yi","orcid":"https://orcid.org/0000-0003-3889-767X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yi","raw_affiliation_strings":["School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-3889-767X","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020488239","display_name":"Chengyong Wang","orcid":"https://orcid.org/0009-0003-2652-8006"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyong Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0003-2652-8006","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550242","display_name":"Longjie Li","orcid":"https://orcid.org/0000-0002-4714-5181"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longjie Li","raw_affiliation_strings":["School of Energy and Electrical Engineering, Chang'an University, China"],"raw_orcid":"https://orcid.org/0000-0002-4714-5181","affiliations":[{"raw_affiliation_string":"School of Energy and Electrical Engineering, Chang'an University, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108323757","display_name":"Zhuoxin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoxin Liu","raw_affiliation_strings":["School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0008-0158-266X","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042164241","display_name":"Weihua Liu","orcid":"https://orcid.org/0009-0000-1054-3023"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Liu","raw_affiliation_strings":["School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0000-1054-3023","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082633003","display_name":"Yuquan Gan","orcid":"https://orcid.org/0000-0002-1093-6502"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuquan Gan","raw_affiliation_strings":["School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-1093-6502","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"657","last_page":"662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9797999858856201,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9797999858856201,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9657999873161316,"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/T11448","display_name":"Face recognition and analysis","score":0.9646000266075134,"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/residual","display_name":"Residual","score":0.7479701042175293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6005780100822449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5292788147926331},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4951914846897125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4644050598144531},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44188234210014343},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.4290298521518707},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4107045829296112},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16958051919937134}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7479701042175293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6005780100822449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5292788147926331},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4951914846897125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4644050598144531},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44188234210014343},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.4290298521518707},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4107045829296112},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16958051919937134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641584.3641681","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1995903777","https://openalex.org/W2625894731","https://openalex.org/W2988980823","https://openalex.org/W3075397214","https://openalex.org/W3085033577","https://openalex.org/W3134743586","https://openalex.org/W3172610471","https://openalex.org/W4308790501","https://openalex.org/W4312845279","https://openalex.org/W4362470511"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356","https://openalex.org/W2056165575","https://openalex.org/W3210000161"],"abstract_inverted_index":{"HSI":[0,59,89,139,152],"fusion":[1,21,54,168],"approaches":[2],"aims":[3],"to":[4,25,84,95,108,125],"recover":[5],"high":[6,137],"spatial":[7,28],"resolution":[8,34,60,138],"hyperspectral":[9],"image":[10],"(HSI)":[11],"with":[12,170],"the":[13,82,87,96,100,134,156,171],"preservation":[14],"of":[15,117],"original":[16],"spectral":[17,143],"information.":[18],"The":[19],"existed":[20],"framework":[22],"are":[23,67,121],"designed":[24],"establish":[26],"a":[27,50,115],"feature":[29],"mapping":[30],"relationship":[31],"between":[32,69],"low/high":[33],"HSIs,":[35],"which":[36],"is":[37,56,63,106],"always":[38],"an":[39,110],"under-determined":[40],"problem":[41],"affected":[42],"by":[43],"artifacts":[44],"and":[45,72,90,142,166],"distortions.":[46],"In":[47],"this":[48],"paper,":[49],"multi-layer":[51],"residual":[52,119],"learning":[53],"approach":[55],"proposed":[57,157],"for":[58],"enhancement.":[61],"It":[62],"believed":[64],"that":[65,155],"there":[66],"residuals":[68,83,124],"recovered":[70,88,112,128,136],"result":[71,169],"ideal":[73],"ground":[74,97],"truth":[75],"HSI.":[76],"Our":[77],"method":[78,158],"focuses":[79],"on":[80,149],"reducing":[81],"gradually":[85],"modify":[86],"iteratively":[91],"make":[92],"it":[93],"approximate":[94],"truth.":[98],"Firstly,":[99],"back":[101],"propagation":[102],"neural":[103],"network":[104],"(BPNN)":[105],"employed":[107],"acquire":[109,160],"intermediate":[111],"result.":[113],"Then,":[114],"series":[116],"online":[118],"dictionaries":[120],"trained":[122],"from":[123],"update":[126],"modified":[127],"HSIs":[129],"in":[130],"successive":[131],"iterations.":[132],"Therefore,":[133],"accurate":[135],"less":[140],"errors":[141],"distortions.can":[144],"be":[145],"achieved.":[146],"Experimental":[147],"results":[148],"two":[150],"different":[151],"datasets":[153],"show":[154],"can":[159],"better":[161],"or":[162],"comparable":[163],"evaluation":[164],"metric":[165],"visual":[167],"current":[172],"state-of-the-art":[173],"methods.":[174]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}