{"id":"https://openalex.org/W3194089947","doi":"https://doi.org/10.1109/igarss47720.2021.9554710","title":"Fast Unsupervised Spatiotemporal Super-Resolution for Multispectral Satellite Imaging Using Plug-and-Play Machinery Strategy","display_name":"Fast Unsupervised Spatiotemporal Super-Resolution for Multispectral Satellite Imaging Using Plug-and-Play Machinery Strategy","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3194089947","doi":"https://doi.org/10.1109/igarss47720.2021.9554710","mag":"3194089947"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5000566608","display_name":"Chia-Hsiang Lin","orcid":"https://orcid.org/0000-0002-4865-2329"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hsiang Lin","raw_affiliation_strings":["Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan","National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059029015","display_name":"Cheng-Yu Sie","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Yu Sie","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082169489","display_name":"Pang-Yu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pang-Yu Lin","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090604677","display_name":"Jhao-Ting Lin","orcid":"https://orcid.org/0000-0002-9950-0843"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jhao-Ting Lin","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.3625,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49902878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2568","last_page":"2571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9984999895095825,"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/multispectral-image","display_name":"Multispectral image","score":0.7956219911575317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7787128686904907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6432865858078003},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6389283537864685},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5489280819892883},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5357887148857117},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4934217035770416},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.48277464509010315},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4531819820404053},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.440632164478302},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4083811342716217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24138948321342468},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22695761919021606}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7956219911575317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7787128686904907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6432865858078003},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6389283537864685},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5489280819892883},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5357887148857117},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4934217035770416},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.48277464509010315},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4531819820404053},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.440632164478302},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4083811342716217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24138948321342468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22695761919021606},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3831718630","display_name":null,"funder_award_id":"MOST 109-2636-E-006-022","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2056370875","https://openalex.org/W2056811372","https://openalex.org/W2088603520","https://openalex.org/W2167799103","https://openalex.org/W2171845746","https://openalex.org/W2200350976","https://openalex.org/W2245855345","https://openalex.org/W2593048869","https://openalex.org/W2767886251","https://openalex.org/W2768345624","https://openalex.org/W2790888198","https://openalex.org/W2971471179","https://openalex.org/W2990083984","https://openalex.org/W2996446969","https://openalex.org/W4250658187","https://openalex.org/W6685078114"],"related_works":["https://openalex.org/W3036931590","https://openalex.org/W3089138622","https://openalex.org/W2095903272","https://openalex.org/W2391745328","https://openalex.org/W4214649316","https://openalex.org/W2554790198","https://openalex.org/W2011962637","https://openalex.org/W2163677711","https://openalex.org/W2036727360","https://openalex.org/W2554736181"],"abstract_inverted_index":{"Acquiring":[0],"high-spatial-resolution":[1],"(HSR)":[2],"images":[3,31,42],"at":[4,33,44],"high":[5,45],"temporal":[6],"sampling":[7,35,46],"rate":[8],"is":[9,24,52,75],"not":[10,14,99],"economical":[11],"and":[12,48,125,141],"even":[13],"achievable":[15],"using":[16],"contemporary":[17],"multispectral":[18],"satellite":[19],"imaging":[20,84],"hardware.":[21],"An":[22],"alternative":[23],"to":[25,54],"fuse":[26],"a":[27,108],"set":[28,39],"of":[29,40,63,81],"HSR":[30],"acquired":[32,43],"low":[34,142],"rate,":[36,47],"with":[37],"another":[38],"low-spatial-resolution":[41],"such":[49],"fusion":[50],"problem":[51,66],"referred":[53],"as":[55,122,137],"spatiotemporal":[56],"super-resolution":[57,89],"(STSR).":[58],"We":[59,133],"mitigate":[60],"the":[61,64,69,76,79,92,115,129],"ill-posedness":[62],"STSR":[65,111],"by":[67,113,126],"incorporating":[68],"image":[70],"self-similarity":[71],"prior":[72],"(S2P),":[73],"which":[74],"key":[77],"behind":[78],"design":[80],"several":[82],"state-of-the-art":[83],"inverse":[85],"problems.":[86],"Unlike":[87],"most":[88],"works":[90],"in":[91,118],"computer":[93],"vision":[94],"area,":[95],"our":[96,135],"method":[97,112,136],"does":[98],"rely":[100],"on":[101],"collecting":[102],"big":[103],"data.":[104],"Instead,":[105],"we":[106],"propose":[107],"fully":[109],"unsupervised":[110],"adopting":[114],"popular":[116],"strategy":[117],"machine":[119],"learning,":[120],"known":[121],"plug-and-play":[123],"optimization,":[124],"carefully":[127],"refining":[128],"required":[130],"matrix":[131],"computation/inversion.":[132],"term":[134],"STSRS2P,":[138],"whose":[139],"superiority":[140],"computational":[143],"complexity":[144],"will":[145],"be":[146],"experimentally":[147],"verified.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
