{"id":"https://openalex.org/W4206722835","doi":"https://doi.org/10.1109/jstars.2022.3143532","title":"TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers","display_name":"TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4206722835","doi":"https://doi.org/10.1109/jstars.2022.3143532"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3143532","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3143532","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09684717.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/4609443/9656571/09684717.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079003324","display_name":"Tai An","orcid":"https://orcid.org/0000-0002-9220-2560"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tai An","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067715727","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0003-2901-2593"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047574411","display_name":"Chunlei Huo","orcid":"https://orcid.org/0000-0002-6748-6709"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlei Huo","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103448933","display_name":"Bin Xue","orcid":"https://orcid.org/0000-0002-2356-8833"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xue","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629700","display_name":"Lingfeng Wang","orcid":"https://orcid.org/0000-0003-3707-0267"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfeng Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435212","display_name":"Chunhong Pan","orcid":"https://orcid.org/0000-0001-7433-4474"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhong Pan","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5079003324"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":6.6274,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.97753262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"15","issue":null,"first_page":"1373","last_page":"1388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7332636713981628},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.7213904857635498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5804314613342285},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5512115955352783},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5222514271736145},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5199902653694153},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49118921160697937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47177720069885254},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.44338905811309814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.369123637676239},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.26862823963165283},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20229139924049377},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19806918501853943},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09800204634666443},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07964327931404114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7332636713981628},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.7213904857635498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5804314613342285},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5512115955352783},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5222514271736145},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5199902653694153},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49118921160697937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47177720069885254},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.44338905811309814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.369123637676239},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.26862823963165283},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20229139924049377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19806918501853943},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09800204634666443},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07964327931404114},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3143532","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3143532","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09684717.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:3b804003b71b4f129d66ba0c8ac52194","is_oa":true,"landing_page_url":"https://doaj.org/article/3b804003b71b4f129d66ba0c8ac52194","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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 1373-1388 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3143532","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3143532","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09684717.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[],"awards":[{"id":"https://openalex.org/G3054138389","display_name":null,"funder_award_id":"62071466","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3453533880","display_name":null,"funder_award_id":"61802407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5976392586","display_name":null,"funder_award_id":"2018GXNSFBA281086","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4206722835.pdf","grobid_xml":"https://content.openalex.org/works/W4206722835.grobid-xml"},"referenced_works_count":97,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1885185971","https://openalex.org/W1973794531","https://openalex.org/W1985806826","https://openalex.org/W2028790650","https://openalex.org/W2081321639","https://openalex.org/W2082456873","https://openalex.org/W2087380704","https://openalex.org/W2097074225","https://openalex.org/W2100329651","https://openalex.org/W2121058967","https://openalex.org/W2122632184","https://openalex.org/W2133665775","https://openalex.org/W2146200771","https://openalex.org/W2157494358","https://openalex.org/W2158253930","https://openalex.org/W2165939075","https://openalex.org/W2170573007","https://openalex.org/W2214802144","https://openalex.org/W2320725294","https://openalex.org/W2414132572","https://openalex.org/W2476548250","https://openalex.org/W2509704168","https://openalex.org/W2518224564","https://openalex.org/W2535388113","https://openalex.org/W2548527721","https://openalex.org/W2558484771","https://openalex.org/W2560755969","https://openalex.org/W2604329646","https://openalex.org/W2747898905","https://openalex.org/W2773049485","https://openalex.org/W2792111852","https://openalex.org/W2792955223","https://openalex.org/W2794252992","https://openalex.org/W2794276902","https://openalex.org/W2796901798","https://openalex.org/W2798664922","https://openalex.org/W2810821452","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2906021645","https://openalex.org/W2927933146","https://openalex.org/W2929208599","https://openalex.org/W2939570633","https://openalex.org/W2943832862","https://openalex.org/W2951527505","https://openalex.org/W2957558419","https://openalex.org/W2963149042","https://openalex.org/W2963210183","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2970710980","https://openalex.org/W2971251319","https://openalex.org/W2996275425","https://openalex.org/W3003247314","https://openalex.org/W3016410830","https://openalex.org/W3022107227","https://openalex.org/W3026840827","https://openalex.org/W3035022492","https://openalex.org/W3036200672","https://openalex.org/W3036433012","https://openalex.org/W3039108209","https://openalex.org/W3040323135","https://openalex.org/W3042008420","https://openalex.org/W3044723170","https://openalex.org/W3046020299","https://openalex.org/W3088734486","https://openalex.org/W3092462694","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3103699521","https://openalex.org/W3104313739","https://openalex.org/W3117450517","https://openalex.org/W3124133491","https://openalex.org/W3124718178","https://openalex.org/W3129508949","https://openalex.org/W3154593456","https://openalex.org/W3169612303","https://openalex.org/W3170841864","https://openalex.org/W3170874841","https://openalex.org/W3171125843","https://openalex.org/W3200870516","https://openalex.org/W3214821343","https://openalex.org/W4206706211","https://openalex.org/W4287330714","https://openalex.org/W4385245566","https://openalex.org/W6682137061","https://openalex.org/W6685670348","https://openalex.org/W6739901393","https://openalex.org/W6757491820","https://openalex.org/W6771953071","https://openalex.org/W6784094891","https://openalex.org/W6784333009","https://openalex.org/W6788071488","https://openalex.org/W6788135285","https://openalex.org/W6790749177","https://openalex.org/W6796568838"],"related_works":["https://openalex.org/W4312705334","https://openalex.org/W2048225904","https://openalex.org/W1971218353","https://openalex.org/W2137653915","https://openalex.org/W2004818310","https://openalex.org/W2063406554","https://openalex.org/W2049925947","https://openalex.org/W3088281917","https://openalex.org/W1970680862","https://openalex.org/W3004000015"],"abstract_inverted_index":{"Multiimage":[0],"super-resolution":[1],"(MISR),":[2],"as":[3,51],"one":[4],"of":[5,24,32,67,75,101,140,183,192,206],"the":[6,19,129,137,160,163,170,176,181,185,189,199,204,207],"most":[7,56],"promising":[8],"directions":[9],"in":[10,18,217],"remote":[11],"sensing,":[12],"has":[13,30,167],"become":[14],"a":[15,35,45,52,93,110,115],"needy":[16],"technique":[17],"satellite":[20,142],"market.":[21],"A":[22],"sequence":[23,80],"images":[25,143],"collected":[26],"by":[27,122,187],"satellites":[28],"often":[29],"plenty":[31],"views":[33,43],"and":[34,114],"long":[36],"time":[37],"span,":[38],"so":[39],"integrating":[40],"multiple":[41,68,124],"low-resolution":[42],"into":[44,127],"high-resolution":[46],"image":[47,79,193],"with":[48,81,88],"details":[49,161],"emerges":[50],"challenging":[53],"problem.":[54],"However,":[55],"MISR":[57,173],"methods":[58],"based":[59,106,117],"on":[60,107,118,198],"deep":[61],"learning":[62],"cannot":[63],"make":[64],"full":[65],"use":[66],"images.":[69],"Their":[70],"fusion":[71,112,130],"modules":[72],"are":[73],"incapable":[74],"adapting":[76],"to":[77,136,158,162,172],"an":[78,149,212],"weak":[82],"temporal":[83],"correlations":[84],"well.":[85],"To":[86],"cope":[87],"these":[89,156],"problems,":[90],"we":[91],"propose":[92],"novel":[94],"end-to-end":[95],"framework":[96],"called":[97],"TR-MISR.":[98],"It":[99],"consists":[100],"three":[102],"parts:":[103],"An":[104],"encoder":[105],"residual":[108],"blocks,":[109],"transformer-based":[111],"module,":[113],"decoder":[116],"subpixel":[119],"convolution.":[120],"Specifically,":[121],"rearranging":[123],"feature":[125],"maps":[126],"vectors,":[128],"module":[131],"can":[132],"assign":[133],"dynamic":[134],"attention":[135],"same":[138],"area":[139],"different":[141],"simultaneously.":[144],"In":[145],"addition,":[146],"TR-MISR":[147,166],"adopts":[148],"additional":[150],"learnable":[151],"embedding":[152],"vector":[153],"that":[154,210],"fuses":[155],"vectors":[157],"restore":[159],"greatest":[164],"extent.":[165],"successfully":[168],"applied":[169],"transformer":[171,186],"tasks":[174],"for":[175,215],"first":[177],"time,":[178],"notably":[179],"reducing":[180],"difficulty":[182],"training":[184],"ignoring":[188],"spatial":[190],"relations":[191],"patches.":[194],"Extensive":[195],"experiments":[196],"performed":[197],"PROBA-V":[200],"Kelvin":[201],"dataset":[202],"demonstrate":[203],"superiority":[205],"proposed":[208],"model":[209],"provides":[211],"effective":[213],"method":[214],"transformers":[216],"other":[218],"low-level":[219],"vision":[220],"tasks.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}