{"id":"https://openalex.org/W3152901247","doi":"https://doi.org/10.1109/lgrs.2020.3021116","title":"Context-Based Multiscale Unified Network for Missing Data Reconstruction in Remote Sensing Images","display_name":"Context-Based Multiscale Unified Network for Missing Data Reconstruction in Remote Sensing Images","publication_year":2020,"publication_date":"2020-09-16","ids":{"openalex":"https://openalex.org/W3152901247","doi":"https://doi.org/10.1109/lgrs.2020.3021116","mag":"3152901247"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.3021116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3021116","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5072912487","display_name":"Mingwen Shao","orcid":"https://orcid.org/0000-0001-7323-5896"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwen Shao","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-7323-5896","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115605144","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0003-1297-768X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-1297-768X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026532995","display_name":"Tianjun Wu","orcid":"https://orcid.org/0000-0003-0178-2342"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjun Wu","raw_affiliation_strings":["School of Science, Chang&#x2019;an University, Xi&#x2019;an, China","School of Science, Chang'an University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":[]},{"raw_affiliation_string":"School of Science, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017287","display_name":"Deyu Meng","orcid":"https://orcid.org/0000-0002-1294-8283"},"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":"Deyu Meng","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1294-8283","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645913","display_name":"Jiancheng Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Luo","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0578,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.77481278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9980999827384949,"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":0.994700014591217,"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":0.8396049737930298},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5723239183425903},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.552963376045227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5497007966041565},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.534220278263092},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.5227537155151367},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4989283084869385},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.45878368616104126},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4507090449333191},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.441636323928833},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4327367842197418},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41204833984375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38792648911476135},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35111960768699646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.345005065202713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8396049737930298},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5723239183425903},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.552963376045227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5497007966041565},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.534220278263092},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.5227537155151367},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4989283084869385},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.45878368616104126},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4507090449333191},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.441636323928833},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4327367842197418},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41204833984375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38792648911476135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35111960768699646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.345005065202713},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/lgrs.2020.3021116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3021116","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G7152603863","display_name":"\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u5927\u6570\u636e\u56fe\u8c31\u534f\u540c\u8ba1\u7b97\u6a21\u578b","funder_award_id":"41631179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7504528221","display_name":null,"funder_award_id":"61673396","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G919435706","display_name":null,"funder_award_id":"61976245","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1978145340","https://openalex.org/W1982867473","https://openalex.org/W2099471712","https://openalex.org/W2117539524","https://openalex.org/W2331128040","https://openalex.org/W2596422482","https://openalex.org/W2607215444","https://openalex.org/W2740832349","https://openalex.org/W2785678896","https://openalex.org/W2963014378","https://openalex.org/W2963073614","https://openalex.org/W2963374186","https://openalex.org/W2963420272","https://openalex.org/W2978534540","https://openalex.org/W2982763192","https://openalex.org/W3022065499","https://openalex.org/W3024258870","https://openalex.org/W6631190155","https://openalex.org/W6677651945","https://openalex.org/W6696085341","https://openalex.org/W6748582592","https://openalex.org/W6752378368"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W4298074124","https://openalex.org/W3103893032","https://openalex.org/W3005996785"],"abstract_inverted_index":{"Missing":[0],"data":[1,24,44,61],"reconstruction":[2,45,55,147],"is":[3,51],"a":[4,38,100,153],"classical":[5],"yet":[6],"challenging":[7],"problem":[8],"in":[9,47,99,143],"remote":[10,89],"sensing":[11,90],"images.":[12],"Most":[13],"current":[14],"methods":[15,142],"based":[16],"on":[17,74],"traditional":[18],"convolutional":[19],"neural":[20],"network":[21],"require":[22],"supplementary":[23],"and":[25,77,96,109,114,129,166],"can":[26,121],"only":[27,58],"handle":[28],"one":[29],"specific":[30],"task.":[31],"To":[32],"address":[33],"these":[34],"limitations,":[35],"we":[36,92],"propose":[37],"novel":[39],"generative":[40],"adversarial":[41,116],"network-based":[42],"missing":[43],"method":[46],"this":[48],"letter,":[49],"which":[50],"capable":[52],"of":[53,88,136],"various":[54],"tasks":[56],"given":[57],"single":[59],"source":[60],"as":[62],"input.":[63],"Two":[64],"auxiliary":[65],"patch-based":[66],"discriminators":[67],"are":[68,168],"deployed":[69],"to":[70,83,160],"impose":[71],"additional":[72],"constraints":[73],"the":[75,86,105,118,133,137,157],"local":[76],"global":[78],"regions,":[79],"respectively.":[80],"In":[81],"order":[82],"better":[84,126],"fit":[85],"nature":[87],"images,":[91],"introduce":[93],"special":[94],"convolutions":[95],"attention":[97],"mechanism":[98],"two-stage":[101],"generator,":[102],"thereby":[103],"benefiting":[104],"tradeoff":[106],"between":[107],"accuracy":[108],"efficiency.":[110],"Combining":[111],"with":[112,125],"perceptual":[113],"multiscale":[115],"losses,":[117],"proposed":[119,138,158],"model":[120,139,159],"produce":[122],"coherent":[123],"structure":[124],"details.":[127],"Qualitative":[128],"quantitative":[130],"experiments":[131],"demonstrate":[132],"uncompromising":[134],"performance":[135],"against":[140],"multisource":[141],"generating":[144],"visually":[145],"plausible":[146],"results.":[148],"Moreover,":[149],"further":[150],"exploration":[151],"shows":[152],"promising":[154],"way":[155],"for":[156],"utilize":[161],"spatio-spectral-temporal":[162],"information.":[163],"The":[164],"codes":[165],"models":[167],"available":[169],"at":[170],"<uri":[171],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[172],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Oliiveralien/Inpainting-on-RSI</uri>":[173],".":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
