{"id":"https://openalex.org/W4296437529","doi":"https://doi.org/10.1109/jstars.2022.3207777","title":"Multiple Frame Splicing and Degradation Learning for Hyperspectral Imagery Super-Resolution","display_name":"Multiple Frame Splicing and Degradation Learning for Hyperspectral Imagery Super-Resolution","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4296437529","doi":"https://doi.org/10.1109/jstars.2022.3207777"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3207777","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3207777","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09895316.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09895316.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079668307","display_name":"Chenwei Deng","orcid":"https://orcid.org/0000-0002-3747-5128"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenwei Deng","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3747-5128","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075057400","display_name":"Xingshi Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingshi Luo","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049895843","display_name":"Wenzheng Wang","orcid":"https://orcid.org/0000-0002-0278-6751"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzheng Wang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0278-6751","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.6954,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85841068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"8389","last_page":"8401"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.8836642503738403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7757186889648438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6728174686431885},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5961431860923767},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5915495157241821},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5393173098564148},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.44809842109680176},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4301663041114807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38065600395202637},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08957433700561523}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8836642503738403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757186889648438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6728174686431885},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5961431860923767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5915495157241821},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5393173098564148},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.44809842109680176},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4301663041114807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38065600395202637},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08957433700561523},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3207777","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3207777","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09895316.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f26f62b7dfd54be8b38c258cd2355f29","is_oa":true,"landing_page_url":"https://doaj.org/article/f26f62b7dfd54be8b38c258cd2355f29","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8389-8401 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3207777","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3207777","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09895316.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G692399883","display_name":null,"funder_award_id":"62171040","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296437529.pdf","grobid_xml":"https://content.openalex.org/works/W4296437529.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1916874600","https://openalex.org/W1990231296","https://openalex.org/W2021046129","https://openalex.org/W2023075239","https://openalex.org/W2041812800","https://openalex.org/W2064076387","https://openalex.org/W2078855750","https://openalex.org/W2100109944","https://openalex.org/W2120184245","https://openalex.org/W2133665775","https://openalex.org/W2162842940","https://openalex.org/W2165709183","https://openalex.org/W2494274259","https://openalex.org/W2547665164","https://openalex.org/W2588000623","https://openalex.org/W2607041014","https://openalex.org/W2755992512","https://openalex.org/W2761302114","https://openalex.org/W2767522909","https://openalex.org/W2773850265","https://openalex.org/W2793272303","https://openalex.org/W2810033788","https://openalex.org/W2866634454","https://openalex.org/W2887210918","https://openalex.org/W2889107641","https://openalex.org/W2898062170","https://openalex.org/W2902746003","https://openalex.org/W2910457605","https://openalex.org/W2912058580","https://openalex.org/W2944248482","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2964140612","https://openalex.org/W2965268396","https://openalex.org/W2989355516","https://openalex.org/W2998841120","https://openalex.org/W3015378990","https://openalex.org/W3025440211","https://openalex.org/W3027120144","https://openalex.org/W3033214016","https://openalex.org/W3036200672","https://openalex.org/W3041293645","https://openalex.org/W3043719198","https://openalex.org/W3044723170","https://openalex.org/W3046027728","https://openalex.org/W3047443805","https://openalex.org/W3048794210","https://openalex.org/W3097353710","https://openalex.org/W3099608030","https://openalex.org/W3102405604","https://openalex.org/W3102745911","https://openalex.org/W3102912004","https://openalex.org/W3103695279","https://openalex.org/W3104313739","https://openalex.org/W3122774149","https://openalex.org/W3123544374","https://openalex.org/W3128204528","https://openalex.org/W3130107790","https://openalex.org/W3133902755","https://openalex.org/W3140885850","https://openalex.org/W3160949528","https://openalex.org/W3174865552","https://openalex.org/W3199351457","https://openalex.org/W3209871728","https://openalex.org/W3214821343","https://openalex.org/W4212908285","https://openalex.org/W4214535086","https://openalex.org/W4229367296","https://openalex.org/W4280541456","https://openalex.org/W4288064619","https://openalex.org/W4312331860","https://openalex.org/W6623043969","https://openalex.org/W6631190155","https://openalex.org/W6746466744"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2912065050","https://openalex.org/W2369060955"],"abstract_inverted_index":{"Hyperspectral":[0,45,62],"Imagery":[1],"(HSI)":[2],"is":[3,20,74,136],"an":[4,137],"emerging":[5],"remote":[6,12],"sensing":[7,13],"technology":[8],"to":[9,24,114,126,156,196,216],"discriminate":[10],"different":[11,225],"objects.":[14],"However,":[15],"the":[16,25,36,43,52,60,90,117,129,134,157,174,181,200,205,209,218,230,237,240,247],"HSI":[17,79,123],"spatial":[18,96],"resolution":[19],"relatively":[21],"low":[22,95],"due":[23,155],"trade-off":[26],"in":[27,104,239],"restricted":[28],"physical":[29],"hardware":[30],"and":[31,59,120,149,179,213,245],"various":[32],"imaging":[33],"conditions,":[34],"restricting":[35],"subsequent":[37],"object":[38],"detection":[39],"applications.":[40],"At":[41],"present,":[42],"Single":[44],"Super":[46,64,139],"Resolution":[47,65,140],"(SHSR)":[48],"strategy":[49,67,113],"has":[50],"encountered":[51],"bottleneck":[53],"on":[54,89,185,208,223],"more":[55],"precise":[56],"details":[57,238],"extraction,":[58],"Fusion":[61],"Image":[63],"(FHSR)":[66],"must":[68],"need":[69],"extra":[70],"RGB/multispectral":[71],"information":[72],"which":[73],"not":[75],"suitable":[76],"for":[77,199],"general":[78],"usage.":[80],"Also,":[81],"both":[82],"types":[83],"of":[84,94,109,160],"current":[85],"strategies":[86],"focus":[87,207],"less":[88],"multiple":[91,110,122,161,188],"degradation":[92,124,131,189,206],"causes":[93],"resolution.":[97],"In":[98],"this":[99,186],"paper,":[100],"a":[101,106,145],"step":[102],"forward":[103],"designing":[105],"novel":[107],"framework":[108,135,171],"frame":[111],"splicing":[112,162],"greatly":[115],"improve":[116],"SHSR":[118,249],"quality,":[119],"applying":[121],"models":[125],"better":[127,198],"fit":[128,197],"real":[130,219],"circumstance.":[132],"Specifically,":[133],"end-to-end":[138],"(SR)":[141],"network":[142],"that":[143,229],"supersedes":[144],"single":[146],"up-sampling":[147],"module":[148],"removes":[150],"complex":[151],"attention":[152],"residual":[153],"model":[154],"same":[158],"size":[159],"low-resolution":[163,190],"input":[164],"samples":[165,191],"with":[166],"high-resolution":[167,242],"outputs.":[168],"The":[169],"effective":[170],"will":[172],"alleviate":[173],"vague":[175],"at":[176],"higher":[177],"multiples,":[178],"accelerate":[180],"training":[182],"convergence.":[183],"Based":[184],"framework,":[187],"can":[192,234],"be":[193],"simultaneously":[194],"combined":[195],"blind":[201],"super-resolution":[202],"result.":[203],"Concretely,":[204],"blur,":[210],"noise,":[211],"compression,":[212],"their":[214],"combinations":[215],"simulate":[217],"degradation.":[220],"Experimental":[221],"results":[222],"three":[224],"hyperspectral":[226,243],"datasets":[227],"demonstrate":[228],"proposed":[231],"MFSDM":[232],"algorithm":[233],"significantly":[235],"enhance":[236],"recovered":[241],"images,":[244],"outperforms":[246],"state-of-the-art":[248],"methods.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}