{"id":"https://openalex.org/W4293199323","doi":"https://doi.org/10.1109/tgrs.2022.3199750","title":"Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution","display_name":"Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293199323","doi":"https://doi.org/10.1109/tgrs.2022.3199750"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3199750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3199750","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5100350070","display_name":"Ziyu Liu","orcid":"https://orcid.org/0009-0005-4103-7824"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Liu","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053931437","display_name":"Ruyi Feng","orcid":"https://orcid.org/0000-0002-5709-690X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Ruyi Feng","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo Information Processing, China University of Geosciences, Wuhan, China","Department of Mathematics, Chinese University of Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-5709-690X","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Department of Mathematics, Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhe Wang","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2766-0845","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100750908","display_name":"Wei Han","orcid":"https://orcid.org/0000-0003-3882-1616"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Han","raw_affiliation_strings":["School of Computer Science and the Hubei Key Laboratory of Intelligent Geo Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3882-1616","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Hubei Key Laboratory of Intelligent Geo Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059443966","display_name":"Tieyong Zeng","orcid":"https://orcid.org/0000-0002-0688-202X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tieyong Zeng","raw_affiliation_strings":["Department of Mathematics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-0688-202X","affiliations":[{"raw_affiliation_string":"Department of Mathematics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.111,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95336463,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9986000061035156,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.8015096783638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5931683778762817},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5160786509513855},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4833204746246338},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4757901430130005},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4644577205181122},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4611400067806244},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44851237535476685},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4418526887893677},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41964447498321533},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4179961085319519},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4142664968967438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37891885638237},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3571741580963135},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0826633870601654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07981225848197937},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.07636618614196777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015096783638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5931683778762817},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5160786509513855},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4833204746246338},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4757901430130005},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4644577205181122},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4611400067806244},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44851237535476685},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4418526887893677},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41964447498321533},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4179961085319519},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4142664968967438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37891885638237},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3571741580963135},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0826633870601654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07981225848197937},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.07636618614196777},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3199750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3199750","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G1322315197","display_name":null,"funder_award_id":"2019CFA023","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G1596133006","display_name":null,"funder_award_id":"U1711266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4972037827","display_name":null,"funder_award_id":"XJ2020025","funder_id":"https://openalex.org/F4320323540","funder_display_name":"Society of Hong Kong Scholars"},{"id":"https://openalex.org/G509352352","display_name":null,"funder_award_id":"41925007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8877971404","display_name":null,"funder_award_id":"2020(B)003","funder_id":"https://openalex.org/F4320330470","funder_display_name":"Hubei Key Laboratory of Regional Development and Environmental Response"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320323540","display_name":"Society of Hong Kong Scholars","ror":"https://ror.org/03gffcv79"},{"id":"https://openalex.org/F4320330470","display_name":"Hubei Key Laboratory of Regional Development and Environmental Response","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W7682646","https://openalex.org/W1522301498","https://openalex.org/W1579828764","https://openalex.org/W1594676769","https://openalex.org/W1686810756","https://openalex.org/W1885185971","https://openalex.org/W1950594372","https://openalex.org/W1976416062","https://openalex.org/W2005368619","https://openalex.org/W2062811295","https://openalex.org/W2087380704","https://openalex.org/W2097073572","https://openalex.org/W2097074225","https://openalex.org/W2102166818","https://openalex.org/W2107384509","https://openalex.org/W2117539524","https://openalex.org/W2121058967","https://openalex.org/W2133665775","https://openalex.org/W2150081556","https://openalex.org/W2157494358","https://openalex.org/W2242218935","https://openalex.org/W2359099468","https://openalex.org/W2476548250","https://openalex.org/W2524927183","https://openalex.org/W2534320940","https://openalex.org/W2606202972","https://openalex.org/W2621121458","https://openalex.org/W2744690378","https://openalex.org/W2769150353","https://openalex.org/W2779571083","https://openalex.org/W2780544323","https://openalex.org/W2866634454","https://openalex.org/W2887695188","https://openalex.org/W2891158090","https://openalex.org/W2914721378","https://openalex.org/W2919715196","https://openalex.org/W2920074116","https://openalex.org/W2927933146","https://openalex.org/W2954930822","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963091558","https://openalex.org/W2963372104","https://openalex.org/W2964101377","https://openalex.org/W2976372274","https://openalex.org/W3007236234","https://openalex.org/W3034981886","https://openalex.org/W3035280441","https://openalex.org/W3035467803","https://openalex.org/W3035559491","https://openalex.org/W3046108465","https://openalex.org/W3088103684","https://openalex.org/W3089400682","https://openalex.org/W3099372209","https://openalex.org/W3122050197","https://openalex.org/W3123866747","https://openalex.org/W3124561108","https://openalex.org/W3135879617","https://openalex.org/W3153239544","https://openalex.org/W3168684807","https://openalex.org/W4206244656","https://openalex.org/W4206433182","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6752237900","https://openalex.org/W6779778204"],"related_works":["https://openalex.org/W2161229648","https://openalex.org/W2738221750","https://openalex.org/W2993674027","https://openalex.org/W2164918837","https://openalex.org/W2130228941","https://openalex.org/W2517246325","https://openalex.org/W1604511055","https://openalex.org/W2026847083","https://openalex.org/W2147047527","https://openalex.org/W4225866270"],"abstract_inverted_index":{"High-resolution":[0],"(HR)":[1],"remote":[2,10,91,147],"sensing":[3,11,92,148],"imagery":[4,93],"plays":[5],"a":[6,43,48,70,128],"critical":[7],"role":[8],"in":[9,67,79,90,116],"image":[12,16,149],"interpretation,":[13],"and":[14,25,100,137,143],"single":[15],"super-resolution":[17,150,156],"(SISR)":[18],"reconstruction":[19,109],"technology":[20],"is":[21,59,77,83,104,160],"becoming":[22],"increasingly":[23],"valuable":[24],"significant.":[26],"The":[27],"state-of-the-art":[28,155],"deep-learning-based":[29],"SISR":[30],"methods":[31],"have":[32],"demonstrated":[33],"remarkable":[34],"advantages,":[35],"while":[36],"reconstructing":[37],"complex":[38],"texture":[39],"details":[40],"still":[41],"remains":[42],"big":[44],"challenge.":[45],"Besides,":[46],"as":[47],"typical":[49,124],"ill-posed":[50,125],"inverse":[51],"problem,":[52],"how":[53],"to":[54,85,106,127],"determine":[55],"the":[56,81,87,108,113,119,123,141],"optimal":[57],"solution":[58],"another":[60],"important":[61],"topic.":[62],"To":[63],"address":[64],"these":[65],"problems,":[66],"this":[68],"work,":[69],"dual":[71,101],"learning-based":[72],"graph":[73],"neural":[74],"network":[75],"(DLGNN)":[76],"proposed,":[78],"which":[80],"GNN":[82],"utilized":[84],"consider":[86],"self-similarity":[88],"patches":[89],"by":[94,111],"aggregating":[95],"cross-scale":[96],"neighboring":[97],"feature":[98],"patches,":[99],"learning":[102],"strategy":[103],"adopted":[105],"refine":[107],"results":[110],"constraining":[112],"mapping":[114],"process":[115],"terms":[117],"of":[118],"loss":[120],"function,":[121],"transferring":[122],"problem":[126],"well-posed":[129],"one.":[130],"Abundant":[131],"experiments":[132],"on":[133],"3K":[134],"VEHICLE&#x005F;SR":[135],"datasets":[136],"Massachusetts":[138],"Roads":[139],"demonstrate":[140],"validity":[142],"outstanding":[144],"performance":[145],"for":[146],"tasks":[151],"compared":[152],"with":[153],"other":[154],"construction":[157],"methods.":[158],"Code":[159],"available":[161],"at":[162],"https://github.com/CUG-RS/DLGNN.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":13}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
