{"id":"https://openalex.org/W4401425892","doi":"https://doi.org/10.3390/rs16162888","title":"Super-Resolution Learning Strategy Based on Expert Knowledge Supervision","display_name":"Super-Resolution Learning Strategy Based on Expert Knowledge Supervision","publication_year":2024,"publication_date":"2024-08-07","ids":{"openalex":"https://openalex.org/W4401425892","doi":"https://doi.org/10.3390/rs16162888"},"language":"en","primary_location":{"id":"doi:10.3390/rs16162888","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16162888","pdf_url":"https://www.mdpi.com/2072-4292/16/16/2888/pdf?version=1723039900","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/16/2888/pdf?version=1723039900","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067089651","display_name":"Zhihan Ren","orcid":"https://orcid.org/0009-0003-5763-4581"},"institutions":[{"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":"Zhihan Ren","raw_affiliation_strings":["School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an 710049, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070173038","display_name":"Lijun He","orcid":"https://orcid.org/0000-0002-3911-8263"},"institutions":[{"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":true,"raw_author_name":"Lijun He","raw_affiliation_strings":["School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an 710049, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005997048","display_name":"Peipei Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peipei Zhu","raw_affiliation_strings":["School of Science and Engineering, Chinese University of Hong Kong, Shenzhen 518172, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Chinese University of Hong Kong, Shenzhen 518172, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070173038"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.5252,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64816153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"16","issue":"16","first_page":"2888","last_page":"2888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980000257492065,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.8717136383056641},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6227089762687683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5827264189720154},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5780811309814453},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.561141312122345},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5195696353912354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4663856029510498},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34388595819473267}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8717136383056641},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6227089762687683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5827264189720154},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5780811309814453},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.561141312122345},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5195696353912354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4663856029510498},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34388595819473267},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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:10.3390/rs16162888","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16162888","pdf_url":"https://www.mdpi.com/2072-4292/16/16/2888/pdf?version=1723039900","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:75e5cff02922442189935b1669296ed5","is_oa":true,"landing_page_url":"https://doaj.org/article/75e5cff02922442189935b1669296ed5","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":"Remote Sensing, Vol 16, Iss 16, p 2888 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16162888","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16162888","pdf_url":"https://www.mdpi.com/2072-4292/16/16/2888/pdf?version=1723039900","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3810548716","display_name":null,"funder_award_id":"2022ZD0115802","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401425892.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1885185971","https://openalex.org/W2123045220","https://openalex.org/W2150165932","https://openalex.org/W2194775991","https://openalex.org/W2741137940","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2896155169","https://openalex.org/W2954930822","https://openalex.org/W2956093359","https://openalex.org/W2962785568","https://openalex.org/W2963150697","https://openalex.org/W2963470893","https://openalex.org/W2963499661","https://openalex.org/W2967400231","https://openalex.org/W3023821242","https://openalex.org/W3035028692","https://openalex.org/W3035424951","https://openalex.org/W3049595576","https://openalex.org/W3129538137","https://openalex.org/W3138516171","https://openalex.org/W3159999130","https://openalex.org/W3163377627","https://openalex.org/W3178925107","https://openalex.org/W3198382817","https://openalex.org/W3198394695","https://openalex.org/W3198884575","https://openalex.org/W3204290292","https://openalex.org/W3206052460","https://openalex.org/W3207918547","https://openalex.org/W3209292695","https://openalex.org/W3213555053","https://openalex.org/W4206808211","https://openalex.org/W4213124617","https://openalex.org/W4220739375","https://openalex.org/W4223483730","https://openalex.org/W4229373348","https://openalex.org/W4280648138","https://openalex.org/W4290995122","https://openalex.org/W4294891553","https://openalex.org/W4304775301","https://openalex.org/W4309737615","https://openalex.org/W4376461217","https://openalex.org/W4382568144","https://openalex.org/W4386083034","https://openalex.org/W4388709665","https://openalex.org/W4389113716","https://openalex.org/W4390872521","https://openalex.org/W4390872964","https://openalex.org/W4391877825","https://openalex.org/W4392247448","https://openalex.org/W4392397224","https://openalex.org/W4398197560","https://openalex.org/W6681608319","https://openalex.org/W6734194636","https://openalex.org/W6800952797","https://openalex.org/W6802671871","https://openalex.org/W6840971909","https://openalex.org/W6843286308"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2055243143","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W2365677836","https://openalex.org/W2531295127"],"abstract_inverted_index":{"Existing":[0],"Super-Resolution":[1],"(SR)":[2],"methods":[3],"are":[4],"typically":[5],"trained":[6],"using":[7],"bicubic":[8],"degradation":[9],"simulations,":[10],"resulting":[11],"in":[12,57,62,198],"unsatisfactory":[13],"results":[14,189],"when":[15],"applied":[16],"to":[17,118,122,144],"remote":[18],"sensing":[19],"images":[20],"that":[21,191],"contain":[22],"a":[23,48,72,89,179],"wide":[24],"variety":[25],"of":[26,38,173],"object":[27,42,63,127,147],"shapes":[28],"and":[29,115,149,167,186,202],"sizes.":[30],"The":[31],"insufficient":[32],"learning":[33,74],"approach":[34],"reduces":[35],"the":[36,45,100,120,126,130,141,151,164,174,192],"focus":[37,123],"models":[39,78],"on":[40,80,125],"critical":[41],"regions":[43,128,148],"within":[44,129],"images.":[46,131],"As":[47],"result,":[49],"their":[50],"practical":[51,156],"performance":[52],"is":[53,65],"significantly":[54],"hindered,":[55],"especially":[56],"real-world":[58],"applications":[59],"where":[60],"accuracy":[61],"reconstruction":[64,102,200],"crucial.":[66],"In":[67],"this":[68,159],"work,":[69],"we":[70],"propose":[71],"general":[73],"strategy":[75],"for":[76,155],"SR":[77,101],"based":[79],"expert":[81,135],"knowledge":[82],"supervision,":[83],"named":[84],"EKS-SR,":[85],"which":[86],"can":[87,139,195],"incorporate":[88],"few":[90,180],"coarse-grained":[91],"semantic":[92],"information":[93,107,153],"derived":[94],"from":[95,108],"high-level":[96],"visual":[97],"tasks":[98],"into":[99],"process.":[103],"It":[104],"utilizes":[105],"prior":[106],"three":[109],"perspectives:":[110],"regional":[111],"constraints,":[112,114,117,137],"feature":[113],"attributive":[116],"guide":[119],"model":[121],"more":[124],"By":[132],"integrating":[133],"these":[134],"knowledge-driven":[136],"EKS-SR":[138,183],"enhance":[140],"model\u2019s":[142],"ability":[143],"accurately":[145],"reconstruct":[146],"capture":[150],"key":[152],"needed":[154],"applications.":[157],"Importantly,":[158],"improvement":[160],"does":[161,168],"not":[162,169],"increase":[163],"inference":[165],"time":[166],"require":[170],"full":[171],"annotation":[172],"large-scale":[175],"datasets,":[176],"but":[177],"only":[178],"labels,":[181],"making":[182],"both":[184,199],"efficient":[185],"effective.":[187],"Experimental":[188],"demonstrate":[190],"proposed":[193],"method":[194],"achieve":[196],"improvements":[197],"quality":[201],"machine":[203],"vision":[204],"analysis":[205],"performance.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}