{"id":"https://openalex.org/W3185004998","doi":"https://doi.org/10.3390/s21144867","title":"Remote Sensing Image Dataset Expansion Based on Generative Adversarial Networks with Modified Shuffle Attention","display_name":"Remote Sensing Image Dataset Expansion Based on Generative Adversarial Networks with Modified Shuffle Attention","publication_year":2021,"publication_date":"2021-07-16","ids":{"openalex":"https://openalex.org/W3185004998","doi":"https://doi.org/10.3390/s21144867","mag":"3185004998","pmid":"https://pubmed.ncbi.nlm.nih.gov/34300604"},"language":"en","primary_location":{"id":"doi:10.3390/s21144867","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21144867","pdf_url":"https://www.mdpi.com/1424-8220/21/14/4867/pdf?version=1626683724","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/14/4867/pdf?version=1626683724","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100605099","display_name":"Chen L\u00fc","orcid":"https://orcid.org/0000-0003-1927-2391"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Chen","raw_affiliation_strings":["School of Electronic Countermeasures, National University of Defense Technology, Hefei 230000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Countermeasures, National University of Defense Technology, Hefei 230000, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357107","display_name":"Hongjun Wang","orcid":"https://orcid.org/0000-0001-6736-6566"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjun Wang","raw_affiliation_strings":["School of Electronic Countermeasures, National University of Defense Technology, Hefei 230000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Countermeasures, National University of Defense Technology, Hefei 230000, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025814758","display_name":"Xianghao Meng","orcid":"https://orcid.org/0000-0002-1705-9223"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghao Meng","raw_affiliation_strings":["School of Electronic Countermeasures, National University of Defense Technology, Hefei 230000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Countermeasures, National University of Defense Technology, Hefei 230000, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100357107"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.097,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.3860685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"14","first_page":"4867","last_page":"4867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9969000220298767,"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":0.9962000250816345,"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":0.7813623547554016},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.7150925993919373},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5673196315765381},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5037516951560974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5016608238220215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4803417921066284},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47428399324417114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46359673142433167},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.43859028816223145},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4218143820762634},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4123445749282837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3988204598426819},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09187349677085876},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08732929825782776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7813623547554016},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.7150925993919373},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5673196315765381},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5037516951560974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5016608238220215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4803417921066284},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47428399324417114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46359673142433167},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.43859028816223145},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4218143820762634},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4123445749282837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3988204598426819},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09187349677085876},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08732929825782776},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058998","descriptor_name":"Remote Sensing Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058998","descriptor_name":"Remote Sensing Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058998","descriptor_name":"Remote Sensing Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21144867","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21144867","pdf_url":"https://www.mdpi.com/1424-8220/21/14/4867/pdf?version=1626683724","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:34300604","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34300604","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:f9b060d8a3224be7a8b711be5e8dc320","is_oa":true,"landing_page_url":"https://doaj.org/article/f9b060d8a3224be7a8b711be5e8dc320","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,"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":"Sensors, Vol 21, Iss 14, p 4867 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/14/4867/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21144867","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":"Sensors; Volume 21; Issue 14; Pages: 4867","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8309944","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8309944","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21144867","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21144867","pdf_url":"https://www.mdpi.com/1424-8220/21/14/4867/pdf?version=1626683724","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G3348246166","display_name":"\u57fa\u4e8e\u591a\u91cd\u673a\u5668\u5b66\u4e60\u7684\u65e0\u7ebf\u901a\u4fe1\u7f51\u4fe1\u53f7\u6001\u52bf\u5168\u8986\u76d6\u611f\u77e5\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61971473","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/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3185004998.pdf","grobid_xml":"https://content.openalex.org/works/W3185004998.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2078179989","https://openalex.org/W2098676252","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2302255633","https://openalex.org/W2752782242","https://openalex.org/W2801389998","https://openalex.org/W2809635958","https://openalex.org/W2884585870","https://openalex.org/W2895340641","https://openalex.org/W2902930830","https://openalex.org/W2917647353","https://openalex.org/W2940726923","https://openalex.org/W2941956444","https://openalex.org/W2950893734","https://openalex.org/W2955058313","https://openalex.org/W2958165250","https://openalex.org/W2963091558","https://openalex.org/W2963185411","https://openalex.org/W2963341071","https://openalex.org/W2963373786","https://openalex.org/W2964774028","https://openalex.org/W2967209289","https://openalex.org/W2969394474","https://openalex.org/W2970694612","https://openalex.org/W2981036610","https://openalex.org/W2988389512","https://openalex.org/W3008439211","https://openalex.org/W3009144764","https://openalex.org/W3015746332","https://openalex.org/W3023821242","https://openalex.org/W3034552520","https://openalex.org/W3044461098","https://openalex.org/W3045854747","https://openalex.org/W3048631361","https://openalex.org/W3157501241","https://openalex.org/W3177052299","https://openalex.org/W6718379498","https://openalex.org/W6781966608"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","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":{"With":[0],"the":[1,25,50,75,104,117,128,133,141,159,173,196],"development":[2],"of":[3,27,49,68,119,195],"science":[4],"and":[5,87,108,150,186],"technology,":[6],"neural":[7,28],"networks,":[8],"as":[9,144],"an":[10,17,110],"effective":[11],"tool":[12],"in":[13,20,74,179],"image":[14,120],"processing,":[15],"play":[16],"important":[18],"role":[19],"gradual":[21],"remote-sensing":[22],"image-processing.":[23],"However,":[24],"training":[26],"networks":[29],"requires":[30],"a":[31,44,65,83,145],"large":[32,66],"sample":[33],"database.":[34],"Therefore,":[35],"expanding":[36],"datasets":[37],"with":[38,97,166,191],"limited":[39,98,199],"samples":[40],"has":[41],"gradually":[42],"become":[43],"research":[45],"hotspot.":[46],"The":[47],"emergence":[48],"generative":[51],"adversarial":[52],"network":[53,86,143],"(GAN)":[54],"provides":[55],"new":[56],"ideas":[57],"for":[58,170],"data":[59],"expansion.":[60],"Traditional":[61],"GANs":[62,168],"either":[63],"require":[64],"number":[67],"input":[69,125],"data,":[70],"or":[71],"lack":[72],"detail":[73],"pictures":[76,96,190],"generated.":[77],"In":[78,100,127],"this":[79,180],"paper,":[80],"we":[81,102,130],"modify":[82],"shuffle":[84],"attention":[85,137],"introduce":[88],"it":[89],"into":[90,140],"GAN":[91,177],"to":[92,115,157],"generate":[93,183],"higher":[94],"quality":[95],"inputs.":[99],"addition,":[101],"improved":[103],"existing":[105],"resize":[106,113],"method":[107,114],"proposed":[109,135,178],"equal":[111],"stretch":[112],"solve":[116],"problem":[118],"distortion":[121],"caused":[122],"by":[123],"different":[124],"sizes.":[126],"experiment,":[129],"also":[131],"embed":[132],"newly":[134],"coordinate":[136],"(CA)":[138],"module":[139],"backbone":[142],"control":[146],"test.":[147],"Qualitative":[148],"indexes":[149,154],"six":[151],"quantitative":[152],"evaluation":[153],"were":[155],"used":[156,169],"evaluate":[158],"experimental":[160],"results,":[161],"which":[162],"show":[163],"that,":[164],"compared":[165],"other":[167],"picture":[171],"generation,":[172],"modified":[174],"Shuffle":[175],"Attention":[176],"paper":[181],"can":[182],"more":[184,192],"refined":[185],"high-quality":[187],"diversified":[188],"aircraft":[189],"detailed":[193],"features":[194],"object":[197],"under":[198],"datasets.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
