{"id":"https://openalex.org/W2927933146","doi":"https://doi.org/10.1109/tgrs.2019.2902431","title":"Edge-Enhanced GAN for Remote Sensing Image Superresolution","display_name":"Edge-Enhanced GAN for Remote Sensing Image Superresolution","publication_year":2019,"publication_date":"2019-03-29","ids":{"openalex":"https://openalex.org/W2927933146","doi":"https://doi.org/10.1109/tgrs.2019.2902431","mag":"2927933146"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2902431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2902431","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/A5103140908","display_name":"Kui Jiang","orcid":"https://orcid.org/0000-0002-4055-7503"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kui Jiang","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741750","display_name":"Zhongyuan Wang","orcid":"https://orcid.org/0000-0002-9796-488X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Wang","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088371302","display_name":"Peng Yi","orcid":"https://orcid.org/0000-0001-9366-951X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yi","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103253679","display_name":"Guangcheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcheng Wang","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089404454","display_name":"Tao L\u00fc","orcid":"https://orcid.org/0000-0001-8117-2012"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lu","raw_affiliation_strings":["Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103140908"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":25.1371,"has_fulltext":false,"cited_by_count":537,"citation_normalized_percentile":{"value":0.99625397,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"57","issue":"8","first_page":"5799","last_page":"5812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7933295965194702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6621072292327881},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5816310048103333},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.5690314769744873},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5437257885932922},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5133506655693054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49959754943847656},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4554727375507355},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4483812153339386},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4473230838775635},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43311187624931335},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4278743267059326},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4168277084827423},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41444656252861023},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4010533094406128},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3673565089702606},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10702639818191528},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08524459600448608}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7933295965194702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621072292327881},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5816310048103333},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.5690314769744873},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5437257885932922},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5133506655693054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49959754943847656},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4554727375507355},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4483812153339386},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4473230838775635},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43311187624931335},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4278743267059326},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4168277084827423},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41444656252861023},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4010533094406128},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3673565089702606},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10702639818191528},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08524459600448608},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2902431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2902431","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":[{"display_name":"Industry, innovation and infrastructure","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2396767952","display_name":null,"funder_award_id":"U1736206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3500309933","display_name":null,"funder_award_id":"61501413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5970083832","display_name":null,"funder_award_id":"2017AAA123","funder_id":"https://openalex.org/F4320335792","funder_display_name":"Hubei Technological Innovation Special Fund"},{"id":"https://openalex.org/G6346682572","display_name":null,"funder_award_id":"61671332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7499339693","display_name":null,"funder_award_id":"61502354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7765341655","display_name":null,"funder_award_id":"61671336","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"},{"id":"https://openalex.org/F4320335792","display_name":"Hubei Technological Innovation Special Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1026270304","https://openalex.org/W1878947057","https://openalex.org/W1885185971","https://openalex.org/W2030707839","https://openalex.org/W2047280020","https://openalex.org/W2066863824","https://openalex.org/W2077567018","https://openalex.org/W2095946779","https://openalex.org/W2096455981","https://openalex.org/W2099471712","https://openalex.org/W2102166818","https://openalex.org/W2106097225","https://openalex.org/W2133665775","https://openalex.org/W2139577851","https://openalex.org/W2141983208","https://openalex.org/W2149338582","https://openalex.org/W2151707108","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2327302159","https://openalex.org/W2331128040","https://openalex.org/W2343734370","https://openalex.org/W2467741384","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2519373937","https://openalex.org/W2577727229","https://openalex.org/W2607041014","https://openalex.org/W2621121458","https://openalex.org/W2745791577","https://openalex.org/W2747898905","https://openalex.org/W2765682467","https://openalex.org/W2767421475","https://openalex.org/W2767850900","https://openalex.org/W2780544323","https://openalex.org/W2780978202","https://openalex.org/W2792365373","https://openalex.org/W2804902458","https://openalex.org/W2808776742","https://openalex.org/W2829067510","https://openalex.org/W2889861425","https://openalex.org/W2890022946","https://openalex.org/W2890330644","https://openalex.org/W2890418895","https://openalex.org/W2892306196","https://openalex.org/W2893425817","https://openalex.org/W2897096148","https://openalex.org/W2897303157","https://openalex.org/W2897799240","https://openalex.org/W2898832590","https://openalex.org/W2900116731","https://openalex.org/W2904835235","https://openalex.org/W2914633159","https://openalex.org/W2950014519","https://openalex.org/W2950560720","https://openalex.org/W2950621961","https://openalex.org/W2963037581","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963641969","https://openalex.org/W2964125708","https://openalex.org/W2964170259","https://openalex.org/W3098551073","https://openalex.org/W3100499011","https://openalex.org/W3104196124","https://openalex.org/W4320013936","https://openalex.org/W6626481562","https://openalex.org/W6639138679","https://openalex.org/W6702130928"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W4226360758","https://openalex.org/W2151093953","https://openalex.org/W2090026684","https://openalex.org/W2537408670"],"abstract_inverted_index":{"The":[0,136],"current":[1],"superresolution":[2],"(SR)":[3],"methods":[4,115],"based":[5],"on":[6,159],"deep":[7],"learning":[8,58],"have":[9],"shown":[10],"remarkable":[11],"comparative":[12],"advantages":[13],"but":[14,105],"remain":[15],"unsatisfactory":[16],"in":[17,26],"recovering":[18],"the":[19,24,56,125,130,148,177],"high-frequency":[20],"edge":[21],"details":[22],"of":[23,69,86],"images":[25],"noise-contaminated":[27,131],"imaging":[28],"conditions,":[29],"e.g.,":[30],"remote":[31],"sensing":[32],"satellite":[33,50,167],"imaging.":[34],"In":[35,65,82],"this":[36],"paper,":[37],"we":[38],"propose":[39],"a":[40,84],"generative":[41],"adversarial":[42,57],"network":[43,46],"(GAN)-based":[44],"edge-enhancement":[45,79],"(EEGAN)":[47],"for":[48,92],"robust":[49],"image":[51,126,139],"SR":[52,179],"reconstruction":[53,173],"along":[54],"with":[55,108,133],"strategy":[59],"that":[60,102,150],"is":[61,90,106,119],"insensitive":[62],"to":[63,96,121,146,176],"noise.":[64],"particular,":[66],"EEGAN":[67],"consists":[68],"two":[70],"main":[71],"subnetworks:":[72],"an":[73,78,98],"ultradense":[74],"subnetwork":[75,80],"(UDSN)":[76],"and":[77,95,110,123,140,154,169],"(EESN).":[81],"UDSN,":[83],"group":[85],"2-D":[87],"dense":[88],"blocks":[89],"assembled":[91],"feature":[93],"extraction":[94],"obtain":[97],"intermediate":[99,138],"high-resolution":[100],"result":[101,149],"looks":[103],"sharp":[104],"eroded":[107],"artifacts":[109],"noises":[111],"as":[112],"previous":[113],"GAN-based":[114],"do.":[116],"Then,":[117],"EESN":[118],"constructed":[120],"extract":[122],"enhance":[124],"contours":[127],"by":[128],"purifying":[129],"components":[132],"mask":[134],"processing.":[135],"recovered":[137],"enhanced":[141],"edges":[142],"can":[143],"be":[144],"combined":[145],"generate":[147],"enjoys":[151],"high":[152],"credibility":[153],"clear":[155],"contents.":[156],"Extensive":[157],"experiments":[158],"Kaggle":[160],"Open":[161],"Source":[162],"Data":[163],"set,":[164],"Jilin-1":[165],"video":[166],"images,":[168],"Digitalglobe":[170],"show":[171],"superior":[172],"performance":[174],"compared":[175],"state-of-the-art":[178],"approaches.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":73},{"year":2024,"cited_by_count":101},{"year":2023,"cited_by_count":104},{"year":2022,"cited_by_count":88},{"year":2021,"cited_by_count":80},{"year":2020,"cited_by_count":62},{"year":2019,"cited_by_count":16}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}