{"id":"https://openalex.org/W3044941129","doi":"https://doi.org/10.3390/rs12152376","title":"Remote Sensing Image Scene Classification with Noisy Label Distillation","display_name":"Remote Sensing Image Scene Classification with Noisy Label Distillation","publication_year":2020,"publication_date":"2020-07-24","ids":{"openalex":"https://openalex.org/W3044941129","doi":"https://doi.org/10.3390/rs12152376","mag":"3044941129"},"language":"en","primary_location":{"id":"doi:10.3390/rs12152376","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12152376","pdf_url":"https://www.mdpi.com/2072-4292/12/15/2376/pdf?version=1595584326","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/2072-4292/12/15/2376/pdf?version=1595584326","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100422073","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-6889-1247"},"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/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]},{"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":"Rui Zhang","raw_affiliation_strings":["Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0002-6889-1247","affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","institution_ids":["https://openalex.org/I4210128284","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675271","display_name":"Zhenghao Chen","orcid":"https://orcid.org/0000-0003-0942-0290"},"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/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghao Chen","raw_affiliation_strings":["Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","institution_ids":["https://openalex.org/I4210128284","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059202009","display_name":"Sanxing Zhang","orcid":"https://orcid.org/0000-0002-7800-0751"},"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/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]},{"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":"Sanxing Zhang","raw_affiliation_strings":["Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","institution_ids":["https://openalex.org/I4210128284","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039668206","display_name":"Fei Song","orcid":"https://orcid.org/0000-0003-0636-8343"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"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/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Song","raw_affiliation_strings":["Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","institution_ids":["https://openalex.org/I4210128284","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669220","display_name":"Gang Zhang","orcid":"https://orcid.org/0000-0002-6730-045X"},"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/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zhang","raw_affiliation_strings":["Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China"],"raw_orcid":"https://orcid.org/0000-0002-6730-045X","affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","institution_ids":["https://openalex.org/I4210128284","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041577102","display_name":"Quancheng Zhou","orcid":null},"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/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]},{"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":"Quancheng Zhou","raw_affiliation_strings":["Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","institution_ids":["https://openalex.org/I4210128284","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030752617","display_name":"Tao Le\u00ed","orcid":"https://orcid.org/0000-0002-0900-1582"},"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/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Lei","raw_affiliation_strings":["Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China"],"raw_orcid":"https://orcid.org/0000-0002-0900-1582","affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China","institution_ids":["https://openalex.org/I4210128284","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5030752617"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128284"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.4424,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93589253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"12","issue":"15","first_page":"2376","last_page":"2376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"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":0.9983000159263611,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9897000193595886,"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/computer-science","display_name":"Computer science","score":0.8360929489135742},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8095647692680359},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5640630722045898},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5580689907073975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5464462637901306},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5440539121627808},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5067821145057678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4984395503997803},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48516732454299927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44202157855033875},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4301908314228058},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4282999634742737},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4188222885131836},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40163877606391907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360929489135742},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8095647692680359},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5640630722045898},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5580689907073975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5464462637901306},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5440539121627808},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5067821145057678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4984395503997803},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48516732454299927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44202157855033875},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4301908314228058},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4282999634742737},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4188222885131836},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40163877606391907},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12152376","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12152376","pdf_url":"https://www.mdpi.com/2072-4292/12/15/2376/pdf?version=1595584326","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:3273c20ac90d49039bdc2ce02999cf4e","is_oa":true,"landing_page_url":"https://doaj.org/article/3273c20ac90d49039bdc2ce02999cf4e","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":"Remote Sensing, Vol 12, Iss 15, p 2376 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/15/2376/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12152376","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; Volume 12; Issue 15; Pages: 2376","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12152376","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12152376","pdf_url":"https://www.mdpi.com/2072-4292/12/15/2376/pdf?version=1595584326","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":[],"awards":[{"id":"https://openalex.org/G599511871","display_name":null,"funder_award_id":"Grant No. 2016336","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G6497506692","display_name":null,"funder_award_id":"2016336","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6821849063","display_name":null,"funder_award_id":"2016336","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320333031","display_name":"University of California Merced","ror":"https://ror.org/00d9ah105"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3044941129.pdf","grobid_xml":"https://content.openalex.org/works/W3044941129.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1921293667","https://openalex.org/W1955055330","https://openalex.org/W1980038761","https://openalex.org/W1994002998","https://openalex.org/W2095705004","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2253590344","https://openalex.org/W2515866431","https://openalex.org/W2577784528","https://openalex.org/W2592335154","https://openalex.org/W2592962403","https://openalex.org/W2620429297","https://openalex.org/W2620998106","https://openalex.org/W2743200750","https://openalex.org/W2770429219","https://openalex.org/W2770929279","https://openalex.org/W2890022946","https://openalex.org/W2895694115","https://openalex.org/W2919352650","https://openalex.org/W2948447329","https://openalex.org/W2949034001","https://openalex.org/W2949117887","https://openalex.org/W2949157943","https://openalex.org/W2949213045","https://openalex.org/W2952927437","https://openalex.org/W2962762068","https://openalex.org/W2963173190","https://openalex.org/W2966552306","https://openalex.org/W2966913949","https://openalex.org/W2970971581","https://openalex.org/W2981873476","https://openalex.org/W2981952612","https://openalex.org/W3016785712","https://openalex.org/W3019448917","https://openalex.org/W3098551073","https://openalex.org/W3103856189","https://openalex.org/W3105577662","https://openalex.org/W3121480429","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W3128011703","https://openalex.org/W2963346891","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661","https://openalex.org/W2005234362"],"abstract_inverted_index":{"The":[0],"widespread":[1],"applications":[2],"of":[3,19,39,137,183],"remote":[4,169,203],"sensing":[5,170,204],"image":[6,171],"scene":[7],"classification-based":[8],"Convolutional":[9],"Neural":[10],"Networks":[11],"(CNNs)":[12],"are":[13,83,189],"severely":[14],"affected":[15],"by":[16],"the":[17,28,35,74,106,160],"lack":[18],"large-scale":[20],"datasets":[21,41],"with":[22],"clean":[23,122,151],"annotations.":[24],"Data":[25],"crawled":[26],"from":[27,131,148],"Internet":[29],"or":[30,123],"other":[31],"sources":[32],"allows":[33],"for":[34,140],"most":[36],"rapid":[37],"expansion":[38],"existing":[40],"at":[42],"a":[43,97,134,149,154,181],"low-cost.":[44],"However,":[45],"directly":[46,199],"training":[47],"on":[48,105,121,167],"such":[49],"an":[50],"expanded":[51],"dataset":[52,67,152],"can":[53,146],"lead":[54],"to":[55,58,77,158],"network":[56,75],"overfitting":[57],"noisy":[59,66,99,124],"labels.":[60],"Traditional":[61],"methods":[62,201],"typically":[63],"divide":[64],"this":[65,94],"into":[68],"multiple":[69],"parts.":[70],"Each":[71],"part":[72],"fine-tunes":[73],"separately":[76],"improve":[78,159],"performance":[79],"further.":[80],"These":[81],"approaches":[82],"inefficient":[84],"and":[85,186,202],"sometimes":[86],"even":[87],"hurt":[88],"performance.":[89,142,163],"To":[90],"address":[91],"these":[92],"problems,":[93],"study":[95],"proposes":[96],"novel":[98],"label":[100],"distillation":[101,114,156],"method":[102,157],"(NLD)":[103],"based":[104],"end-to-end":[107],"teacher-student":[108],"framework.":[109],"First,":[110],"unlike":[111],"general":[112],"knowledge":[113,130],"methods,":[115],"NLD":[116,127,145,164,195],"does":[117],"not":[118],"require":[119],"pre-training":[120],"data.":[125],"Second,":[126],"effectively":[128],"distills":[129],"labels":[132],"across":[133],"full":[135],"range":[136],"noise":[138,184,187],"levels":[139],"better":[141],"In":[143],"addition,":[144],"benefit":[147],"fully":[150],"as":[153],"model":[155],"student":[161],"classifier\u2019s":[162],"is":[165],"evaluated":[166],"three":[168],"datasets,":[172],"including":[173],"UC":[174],"Merced":[175],"Land-use,":[176],"NWPU-RESISC45,":[177],"AID,":[178],"in":[179],"which":[180],"variety":[182],"patterns":[185],"amounts":[188],"injected.":[190],"Experimental":[191],"results":[192],"show":[193],"that":[194],"outperforms":[196],"widely":[197],"used":[198],"fine-tuning":[200],"pseudo-labeling":[205],"methods.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2020-07-29T00:00:00"}