{"id":"https://openalex.org/W2984816542","doi":"https://doi.org/10.3390/rs11212578","title":"Super-Resolution of Remote Sensing Images via a Dense Residual Generative Adversarial Network","display_name":"Super-Resolution of Remote Sensing Images via a Dense Residual Generative Adversarial Network","publication_year":2019,"publication_date":"2019-11-03","ids":{"openalex":"https://openalex.org/W2984816542","doi":"https://doi.org/10.3390/rs11212578","mag":"2984816542"},"language":"en","primary_location":{"id":"doi:10.3390/rs11212578","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11212578","pdf_url":"https://www.mdpi.com/2072-4292/11/21/2578/pdf?version=1572774101","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/2072-4292/11/21/2578/pdf?version=1572774101","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006773892","display_name":"Wen Ma","orcid":"https://orcid.org/0000-0001-8192-2506"},"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/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Ma","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Huairou District, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Huairou District, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032116461","display_name":"Zongxu Pan","orcid":"https://orcid.org/0000-0002-5041-3300"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zongxu Pan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Feng Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yuan","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056766372","display_name":"Bin Lei","orcid":"https://orcid.org/0000-0001-7625-9236"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Lei","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032116461"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.0637,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.93505982,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"21","first_page":"2578","last_page":"2578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9979000091552734,"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":0.9914000034332275,"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":0.8007326126098633},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8004715442657471},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7237781286239624},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.7187943458557129},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5576044321060181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5554969310760498},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5297321677207947},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.43770167231559753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4330078959465027},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.41277700662612915},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3793671727180481},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3778928518295288},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24035558104515076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08678397536277771},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08521494269371033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8007326126098633},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8004715442657471},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7237781286239624},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.7187943458557129},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5576044321060181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5554969310760498},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5297321677207947},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.43770167231559753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4330078959465027},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.41277700662612915},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3793671727180481},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3778928518295288},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24035558104515076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08678397536277771},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08521494269371033},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11212578","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11212578","pdf_url":"https://www.mdpi.com/2072-4292/11/21/2578/pdf?version=1572774101","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:8bdb324020a8462d887758e4f78442c8","is_oa":true,"landing_page_url":"https://doaj.org/article/8bdb324020a8462d887758e4f78442c8","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 21, p 2578 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/21/2578/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11212578","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11212578","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11212578","pdf_url":"https://www.mdpi.com/2072-4292/11/21/2578/pdf?version=1572774101","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":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1737513767","display_name":null,"funder_award_id":"61701478 and 61331017","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2984816542.pdf","grobid_xml":"https://content.openalex.org/works/W2984816542.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W7682646","https://openalex.org/W54257720","https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W1976416062","https://openalex.org/W1983781364","https://openalex.org/W2028790650","https://openalex.org/W2044451987","https://openalex.org/W2047920195","https://openalex.org/W2054515210","https://openalex.org/W2064076387","https://openalex.org/W2087380704","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2149669120","https://openalex.org/W2150081556","https://openalex.org/W2161516371","https://openalex.org/W2163605009","https://openalex.org/W2164551808","https://openalex.org/W2167635673","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2194818953","https://openalex.org/W2200594420","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2330407198","https://openalex.org/W2389240195","https://openalex.org/W2462651488","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2560533888","https://openalex.org/W2592962403","https://openalex.org/W2736128730","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2775253510","https://openalex.org/W2810821452","https://openalex.org/W2889788332","https://openalex.org/W2897421580","https://openalex.org/W2900595774","https://openalex.org/W2902482012","https://openalex.org/W2907551576","https://openalex.org/W2944845825","https://openalex.org/W2959203930","https://openalex.org/W2963470893","https://openalex.org/W2964951804","https://openalex.org/W2969541205","https://openalex.org/W3101162162","https://openalex.org/W3103856189","https://openalex.org/W6600294690","https://openalex.org/W6644253453","https://openalex.org/W6646144553","https://openalex.org/W6677548907","https://openalex.org/W6724673846","https://openalex.org/W6729003901","https://openalex.org/W6735913928","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W4396941953","https://openalex.org/W2987280934","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Single":[0],"image":[1],"super-resolution":[2,44],"(SISR)":[3],"has":[4],"been":[5],"widely":[6],"studied":[7],"in":[8,60,69,87,166],"recent":[9],"years":[10],"as":[11,83],"a":[12,22,67,79,105,140],"crucial":[13],"technique":[14],"for":[15,144],"remote":[16,38],"sensing":[17,39],"applications.":[18],"In":[19],"this":[20],"paper,":[21],"dense":[23,80,117],"residual":[24,81,118],"generative":[25,49,85],"adversarial":[26,50],"network":[27,72,82,86,111,133],"(DRGAN)-based":[28],"SISR":[29],"method":[30,57,162],"is":[31],"proposed":[32,161],"to":[33,74,112,135],"promote":[34],"the":[35,53,61,84,95,110,116,123,128,131,136,152,156,160],"resolution":[36],"of":[37,55,71,94,115,130,168],"images.":[40,101],"Different":[41],"from":[42,98],"previous":[43],"(SR)":[45],"approaches":[46],"based":[47],"on":[48],"networks":[51],"(GANs),":[52],"novelty":[54],"our":[56],"mainly":[58],"lies":[59],"following":[62],"factors.":[63],"First,":[64],"we":[65,121],"made":[66],"breakthrough":[68],"terms":[70,167],"architecture":[73],"improve":[75],"performance.":[76],"We":[77,102],"designed":[78],"GAN,":[88],"which":[89],"can":[90],"make":[91],"full":[92],"use":[93],"hierarchical":[96],"features":[97],"low-resolution":[99],"(LR)":[100],"also":[103],"introduced":[104],"contiguous":[106],"memory":[107],"mechanism":[108],"into":[109],"take":[113],"advantage":[114],"block.":[119],"Second,":[120],"modified":[122],"loss":[124],"function":[125],"and":[126,155,172],"altered":[127],"model":[129],"discriminative":[132],"according":[134],"Wasserstein":[137],"GAN":[138],"with":[139],"gradient":[141],"penalty":[142],"(WGAN-GP)":[143],"stable":[145],"training.":[146],"Extensive":[147],"experiments":[148],"were":[149],"performed":[150],"using":[151],"NWPU-RESISC45":[153],"dataset,":[154],"results":[157],"demonstrated":[158],"that":[159],"outperforms":[163],"state-of-the-art":[164],"methods":[165],"both":[169],"objective":[170],"evaluation":[171],"subjective":[173],"perspective.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}