{"id":"https://openalex.org/W4388709665","doi":"https://doi.org/10.1109/jstars.2023.3333271","title":"Context Aware Edge-Enhanced GAN for Remote Sensing Image Super-Resolution","display_name":"Context Aware Edge-Enhanced GAN for Remote Sensing Image Super-Resolution","publication_year":2023,"publication_date":"2023-11-15","ids":{"openalex":"https://openalex.org/W4388709665","doi":"https://doi.org/10.1109/jstars.2023.3333271"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3333271","doi":"https://doi.org/10.1109/jstars.2023.3333271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3333271","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10319071.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,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10319071.pdf","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","observed_orcids":["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":["Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, School of Information and Communications Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0003-5763-4581","affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, School of Information and Communications Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, 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","observed_orcids":["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":false,"raw_author_name":"Lijun He","raw_affiliation_strings":["Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, School of Information and Communications Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","Sichuan Digital Economy Industry Development Research Institute, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-3911-8263","affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, School of Information and Communications Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Sichuan Digital Economy Industry Development Research Institute, Chengdu, Sichuan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007973307","display_name":"Jichuan Lu","orcid":"https://orcid.org/0009-0008-2162-971X","observed_orcids":["https://orcid.org/0009-0008-2162-971X"]},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jichuan Lu","raw_affiliation_strings":["China Mobile Communications Group Shaanxi Company Ltd., Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0008-2162-971X","affiliations":[{"raw_affiliation_string":"China Mobile Communications Group Shaanxi Company Ltd., Xi&#x0027;an, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.8622,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87040702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"1363","last_page":"1376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9926999807357788,"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":0.9926999807357788,"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/T11019","display_name":"Image Enhancement Techniques","score":0.0026000000070780516,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.000699999975040555,"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/remote-sensing-image-super-resolution","display_name":"remote sensing image super-resolution","score":0.9940000176429749},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.9350000023841858},{"id":"https://openalex.org/keywords/edge-enhancement","display_name":"edge enhancement","score":0.8479999899864197},{"id":"https://openalex.org/keywords/perceptual-similarity","display_name":"perceptual similarity","score":0.7409999966621399},{"id":"https://openalex.org/keywords/land-cover-classification","display_name":"land cover classification","score":0.6539999842643738},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.8980000019073486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8331857323646545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.695865273475647},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6425426602363586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6153607964515686},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5631396174430847},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49762824177742004},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48784422874450684},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48607614636421204},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47714468836784363},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4508667588233948},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44520092010498047},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4435342848300934},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4429776966571808},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.43585556745529175},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41316959261894226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37413954734802246},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.254608154296875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07027256488800049},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3333271","doi":"https://doi.org/10.1109/jstars.2023.3333271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3333271","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10319071.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,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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:a837e469932c4470a5ed867b45ebf5bf","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/a837e469932c4470a5ed867b45ebf5bf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1363-1376 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3333271","doi":"https://doi.org/10.1109/jstars.2023.3333271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3333271","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10319071.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,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G8754065472","display_name":null,"funder_award_id":"2022NSFSC0966","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388709665.pdf","grobid_xml":"https://content.openalex.org/works/W4388709665.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1885185971","https://openalex.org/W1980038761","https://openalex.org/W2098506229","https://openalex.org/W2145023731","https://openalex.org/W2156930033","https://openalex.org/W2157494358","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2621121458","https://openalex.org/W2630837129","https://openalex.org/W2735224642","https://openalex.org/W2866634454","https://openalex.org/W2888527098","https://openalex.org/W2891158090","https://openalex.org/W2898832590","https://openalex.org/W2908320224","https://openalex.org/W2910587630","https://openalex.org/W2927933146","https://openalex.org/W2962749812","https://openalex.org/W2962785568","https://openalex.org/W2963470893","https://openalex.org/W2981333183","https://openalex.org/W2997019934","https://openalex.org/W3005521100","https://openalex.org/W3030520226","https://openalex.org/W3046108465","https://openalex.org/W3085051361","https://openalex.org/W3107561632","https://openalex.org/W3133726918","https://openalex.org/W3135879617","https://openalex.org/W3138516171","https://openalex.org/W3153239544","https://openalex.org/W3155072588","https://openalex.org/W3171125843","https://openalex.org/W3177052299","https://openalex.org/W3177152046","https://openalex.org/W3179965609","https://openalex.org/W3191251640","https://openalex.org/W3198884575","https://openalex.org/W3206476077","https://openalex.org/W3207918547","https://openalex.org/W4206433182","https://openalex.org/W4213452156","https://openalex.org/W4285189202","https://openalex.org/W4294891553","https://openalex.org/W4296339430","https://openalex.org/W4312710812","https://openalex.org/W4313591171","https://openalex.org/W4320002835","https://openalex.org/W4362672456","https://openalex.org/W4378421719","https://openalex.org/W4385211308","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W4414229961","https://openalex.org/W2927933146","https://openalex.org/W4401812343","https://openalex.org/W4200446023","https://openalex.org/W4280648138","https://openalex.org/W4392709353","https://openalex.org/W7117125382","https://openalex.org/W7202389518","https://openalex.org/W4407429816","https://openalex.org/W7165558308"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,24,117],"images":[2,25,85,138,221],"are":[3],"essential":[4],"in":[5,144],"many":[6],"fields,":[7],"such":[8],"as":[9],"land":[10],"cover":[11],"classification":[12,47,234],"and":[13,26,36,60,82,98,111,186,204,235],"building":[14],"extraction.":[15],"The":[16],"huge":[17],"difference":[18],"between":[19,80],"the":[20,27,32,41,45,75,94,124,148,162,166,201,208,230],"directly":[21],"acquired":[22],"remote":[23,116],"actual":[28,145],"scene,":[29],"due":[30],"to":[31,56,93,107,134,160,178,199],"complex":[33],"degradation":[34],"process":[35],"hardware":[37],"limitations,":[38],"seriously":[39],"affects":[40],"performance":[42],"achieved":[43],"by":[44,164,184],"same":[46],"or":[48],"segmentation":[49,237],"model.":[50],"Therefore,":[51],"using":[52],"super-resolution":[53],"(SR)":[54],"algorithms":[55],"improve":[57],"image":[58],"quality":[59],"achieve":[61,229],"better":[62,223],"results":[63,212,232],"is":[64,104,176],"an":[65,154,195],"effective":[66],"method.":[67],"However,":[68],"current":[69],"SR":[70,81,132,203,220],"methods":[71],"only":[72],"focus":[73],"on":[74,233],"similarity":[76,206],"of":[77,96,150],"pixel":[78],"values":[79],"high-resolution":[83],"(HR)":[84],"without":[86],"considering":[87],"perceptual":[88],"similarities,":[89],"which":[90],"usually":[91],"leads":[92],"problem":[95],"over-smoothed":[97],"blurred":[99],"edge":[100,167,181,190,209],"details.":[101],"Moreover,":[102],"there":[103],"little":[105],"attention":[106],"human":[108],"visual":[109],"habits":[110],"machine":[112,240],"vision":[113,241],"applications":[114,242],"for":[115,239],"images.":[118],"In":[119,147],"this":[120],"work,":[121],"we":[122,152,193],"propose":[123],"Context":[125],"aware":[126],"Edge-Enhanced":[127],"Generative":[128],"Adversarial":[129],"Network":[130],"(CEEGAN)":[131],"framework":[133],"reconstruct":[135,187],"visually":[136],"pleasing":[137],"that":[139,214],"can":[140,218,228],"be":[141],"practically":[142],"applied":[143],"scenarios.":[146],"generator":[149],"CEEGAN,":[151],"build":[153],"Edge":[155,172,196],"Feature":[156],"Enhanced":[157],"Module":[158],"(EFEM)":[159],"enhance":[161],"edges":[163],"combining":[165],"features":[168,182],"with":[169,222],"context":[170],"information.":[171],"Restoration":[173],"Block":[174],"(ERB)":[175],"designed":[177,194],"fuse":[179],"multi-scale":[180],"enhanced":[183],"EFEM":[185],"a":[188],"refined":[189],"map.":[191],"Furthermore,":[192],"Loss":[197],"function":[198],"constrain":[200],"generated":[202],"HR":[205],"at":[207],"domain.":[210],"Experimental":[211],"show":[213],"our":[215],"proposed":[216],"method":[217],"obtain":[219],"reconstruction":[224],"performance.":[225],"Meanwhile,":[226],"CEEGAN":[227],"best":[231],"semantic":[236],"datasets":[238]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-11-16T00:00:00"}
