{"id":"https://openalex.org/W3129332838","doi":"https://doi.org/10.3390/s21051566","title":"RS-SSKD: Self-Supervision Equipped with Knowledge Distillation for Few-Shot Remote Sensing Scene Classification","display_name":"RS-SSKD: Self-Supervision Equipped with Knowledge Distillation for Few-Shot Remote Sensing Scene Classification","publication_year":2021,"publication_date":"2021-02-24","ids":{"openalex":"https://openalex.org/W3129332838","doi":"https://doi.org/10.3390/s21051566","mag":"3129332838","pmid":"https://pubmed.ncbi.nlm.nih.gov/33668138"},"language":"en","primary_location":{"id":"doi:10.3390/s21051566","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21051566","pdf_url":"https://www.mdpi.com/1424-8220/21/5/1566/pdf?version=1614680361","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/1424-8220/21/5/1566/pdf?version=1614680361","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031510879","display_name":"Pei Zhang","orcid":"https://orcid.org/0000-0002-6372-5653"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Zhang","raw_affiliation_strings":["School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China"],"raw_orcid":"https://orcid.org/0000-0002-6372-5653","affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100785617","display_name":"Ying Li","orcid":"https://orcid.org/0000-0001-7370-1754"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Li","raw_affiliation_strings":["School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080470435","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0003-0577-7305"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech &amp; Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101963530","display_name":"Jiyue Wang","orcid":"https://orcid.org/0000-0002-2779-5355"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyue Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100785617"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.4915,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.89821852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"5","first_page":"1566","last_page":"1566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9801999926567078,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7664761543273926},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7379224300384521},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7099029421806335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5792356133460999},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5236306190490723},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4860954284667969},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4645191431045532},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4529210925102234},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4517764449119568},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42299243807792664},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41089802980422974},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35569578409194946},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27967995405197144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664761543273926},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7379224300384521},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7099029421806335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5792356133460999},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5236306190490723},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4860954284667969},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4645191431045532},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4529210925102234},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4517764449119568},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42299243807792664},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41089802980422974},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35569578409194946},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27967995405197144},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s21051566","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21051566","pdf_url":"https://www.mdpi.com/1424-8220/21/5/1566/pdf?version=1614680361","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:33668138","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33668138","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:7ee195cf94044c38a507c19a80f85fb0","is_oa":true,"landing_page_url":"https://doaj.org/article/7ee195cf94044c38a507c19a80f85fb0","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 5, p 1566 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/5/1566/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21051566","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 5; Pages: 1566","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7956409","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7956409","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/s21051566","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21051566","pdf_url":"https://www.mdpi.com/1424-8220/21/5/1566/pdf?version=1614680361","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/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G2261214789","display_name":null,"funder_award_id":"3102019ghxm016","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G259401970","display_name":null,"funder_award_id":"61871460","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3129332838.pdf","grobid_xml":"https://content.openalex.org/works/W3129332838.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W99485931","https://openalex.org/W1686810756","https://openalex.org/W1958291604","https://openalex.org/W1968591910","https://openalex.org/W1980038761","https://openalex.org/W1981213426","https://openalex.org/W1997120656","https://openalex.org/W2004752815","https://openalex.org/W2009873714","https://openalex.org/W2023930442","https://openalex.org/W2077319423","https://openalex.org/W2092362185","https://openalex.org/W2097117768","https://openalex.org/W2098642880","https://openalex.org/W2098676252","https://openalex.org/W2108597246","https://openalex.org/W2115733720","https://openalex.org/W2117539524","https://openalex.org/W2122317659","https://openalex.org/W2131386954","https://openalex.org/W2153425333","https://openalex.org/W2154905357","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2253590344","https://openalex.org/W2295107390","https://openalex.org/W2432717477","https://openalex.org/W2515866431","https://openalex.org/W2565684601","https://openalex.org/W2577537809","https://openalex.org/W2592962403","https://openalex.org/W2604763608","https://openalex.org/W2618530766","https://openalex.org/W2626107033","https://openalex.org/W2734790001","https://openalex.org/W2755546070","https://openalex.org/W2783165089","https://openalex.org/W2786038065","https://openalex.org/W2803672301","https://openalex.org/W2885201931","https://openalex.org/W2900358019","https://openalex.org/W2950996604","https://openalex.org/W2957702778","https://openalex.org/W2963070905","https://openalex.org/W2964105864","https://openalex.org/W2974885182","https://openalex.org/W3001133572","https://openalex.org/W3006051380","https://openalex.org/W3012255272","https://openalex.org/W3014323018","https://openalex.org/W3015104952","https://openalex.org/W3025346498","https://openalex.org/W3034096603","https://openalex.org/W3034312118","https://openalex.org/W3035143213","https://openalex.org/W3036045183","https://openalex.org/W3083169598","https://openalex.org/W3088971399","https://openalex.org/W3092261202","https://openalex.org/W3098643429","https://openalex.org/W3103856189","https://openalex.org/W3104355817","https://openalex.org/W3104839310","https://openalex.org/W3105577662","https://openalex.org/W3109083691","https://openalex.org/W3117573952","https://openalex.org/W3125493368","https://openalex.org/W6684191040","https://openalex.org/W6743661861","https://openalex.org/W6753311412"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W3040691452"],"abstract_inverted_index":{"While":[0],"growing":[1],"instruments":[2],"generate":[3],"more":[4,6],"and":[5,109,145,167,186,194],"airborne":[7],"or":[8],"satellite":[9],"images,":[10],"the":[11,55,90,117,120,129,147,153,177,183,188],"bottleneck":[12],"in":[13],"remote":[14],"sensing":[15],"(RS)":[16],"scene":[17,80,164],"classification":[18,49,81],"has":[19],"shifted":[20],"from":[21,62,82],"data":[22,65],"limits":[23],"toward":[24],"a":[25,51,63,73,83,96,137],"lack":[26],"of":[27,57,85,104,139,179,182,191],"ground":[28],"truth":[29],"samples.":[30],"There":[31],"are":[32,38,66],"still":[33],"many":[34],"challenges":[35],"when":[36],"we":[37,71,94,135,170],"facing":[39],"unknown":[40],"environments,":[41],"especially":[42],"those":[43],"with":[44],"insufficient":[45],"training":[46,189],"data.":[47],"Few-shot":[48],"offers":[50],"different":[52],"picture":[53],"under":[54],"umbrella":[56],"meta-learning:":[58],"digging":[59],"rich":[60],"knowledge":[61],"few":[64],"possible.":[67],"In":[68],"this":[69],"work,":[70],"propose":[72,95],"method":[74,155,185],"named":[75],"RS-SSKD":[76],"for":[77,89],"few-shot":[78],"RS":[79,163],"perspective":[84],"generating":[86],"powerful":[87],"representation":[88],"downstream":[91],"meta-learner.":[92],"Firstly,":[93],"novel":[97],"two-branch":[98],"network":[99,118,130],"that":[100,128,152],"takes":[101],"three":[102],"pairs":[103],"original-transformed":[105],"images":[106],"as":[107],"inputs":[108],"incorporates":[110],"Class":[111],"Activation":[112],"Maps":[113],"(CAMs)":[114],"to":[115,142,175],"drive":[116],"mining,":[119],"most":[121],"relevant":[122],"category-specific":[123],"region.":[124],"This":[125],"strategy":[126],"ensures":[127],"generates":[131],"discriminative":[132],"embeddings.":[133],"Secondly,":[134],"set":[136],"round":[138],"self-knowledge":[140],"distillation":[141],"prevent":[143],"overfitting":[144],"boost":[146],"performance.":[148],"Our":[149],"experiments":[150,174],"show":[151],"proposed":[154,184],"surpasses":[156],"current":[157],"state-of-the-art":[158,192],"approaches":[159],"on":[160],"two":[161],"challenging":[162],"datasets:":[165],"NWPU-RESISC45":[166],"RSD46-WHU.":[168],"Finally,":[169],"conduct":[171],"various":[172],"ablation":[173],"investigate":[176],"effect":[178],"each":[180],"component":[181],"analyze":[187],"time":[190],"methods":[193],"ours.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
