{"id":"https://openalex.org/W4402259435","doi":"https://doi.org/10.1109/igarss53475.2024.10642816","title":"Remote Sensing Image Land Cover Classification with Label Noise Based on Deep Reinforcement Learning","display_name":"Remote Sensing Image Land Cover Classification with Label Noise Based on Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402259435","doi":"https://doi.org/10.1109/igarss53475.2024.10642816"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642816","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025736828","display_name":"Yinhe Liu","orcid":"https://orcid.org/0000-0001-6227-2691"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinhe Liu","raw_affiliation_strings":["Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108980601","display_name":"Xian Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Xu","raw_affiliation_strings":["Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086767688","display_name":"Sunan Shi","orcid":"https://orcid.org/0000-0002-0769-5859"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sunan Shi","raw_affiliation_strings":["Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765849","display_name":"Ruoyu Yang","orcid":"https://orcid.org/0000-0002-9147-5030"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoyu Yang","raw_affiliation_strings":["Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110606193","display_name":"Yanfei Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9878,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81336292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"22","issue":null,"first_page":"9798","last_page":"9801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9968000054359436,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.6768732070922852},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.6599440574645996},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6436285972595215},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6341947317123413},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5934314131736755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5795711874961853},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.544849157333374},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4901772141456604},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4878814220428467},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43344953656196594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42436960339546204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3957577347755432},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.237917959690094},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16134655475616455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11262181401252747},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.05600777268409729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6768732070922852},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.6599440574645996},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6436285972595215},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6341947317123413},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5934314131736755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5795711874961853},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.544849157333374},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4901772141456604},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4878814220428467},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43344953656196594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42436960339546204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3957577347755432},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.237917959690094},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16134655475616455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11262181401252747},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.05600777268409729},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10642816","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2006929658","https://openalex.org/W2011500029","https://openalex.org/W2194775991","https://openalex.org/W2725897987","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2992308087","https://openalex.org/W3216772467","https://openalex.org/W4298857966","https://openalex.org/W4361278435","https://openalex.org/W4362519158","https://openalex.org/W6637967152","https://openalex.org/W6804601995"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W4232403550","https://openalex.org/W623607250","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2088899772","https://openalex.org/W2043913960","https://openalex.org/W3129683637"],"abstract_inverted_index":{"The":[0,133],"advent":[1],"of":[2,11,75,135],"high-resolution":[3],"satellite":[4],"technology":[5],"has":[6],"significantly":[7],"improved":[8,151],"the":[9,65,73,79,86,125,130,143],"accuracy":[10,152],"land":[12,52,157],"cover":[13,53,158],"classification,":[14,149],"but":[15],"it":[16,109],"also":[17],"presents":[18],"new":[19],"challenges.":[20],"Deep":[21],"learning":[22,66],"methods,":[23],"particularly":[24],"Convolutional":[25],"Neural":[26],"Networks":[27],"(CNNs)":[28],"and":[29,68,78,119,128,153],"Transformers,":[30],"have":[31],"shown":[32],"promise":[33],"in":[34,145],"overcoming":[35],"these":[36],"challenges,":[37],"yet":[38],"they":[39],"are":[40],"highly":[41],"reliant":[42],"on":[43],"extensive":[44],"annotated":[45],"datasets.":[46],"An":[47],"alternative,":[48],"using":[49],"lower":[50],"resolution":[51],"products":[54],"for":[55,156],"label":[56],"generation,":[57],"introduces":[58,85],"Label":[59,80],"Noise,":[60],"which":[61],"can":[62],"adversely":[63],"affect":[64],"process":[67,127],"model":[69],"performance.":[70],"To":[71],"address":[72],"lack":[74],"quality":[76,105],"labels":[77],"Noise":[81],"problem,":[82],"this":[83,136],"study":[84],"LabelAgent":[87],"framework.":[88],"This":[89],"framework":[90],"combines":[91],"high-resolution,":[92],"recent":[93],"remote":[94,146],"sensing":[95,147],"data":[96,101],"with":[97],"historical,":[98],"low-resolution":[99],"product":[100],"to":[102,116,142],"produce":[103],"higher":[104],"training":[106,126],"labels.":[107],"Furthermore,":[108],"employs":[110],"a":[111,139],"deep":[112],"reinforcement":[113],"learning-based":[114],"approach":[115],"intelligently":[117],"identify":[118],"mitigate":[120],"noisy":[121],"labels,":[122],"thereby":[123],"stabilizing":[124],"enhancing":[129],"classification":[131,159],"efficacy.":[132],"outcome":[134],"research":[137],"offers":[138],"novel":[140],"solution":[141],"challenges":[144],"image":[148],"promising":[150],"generalization":[154],"capability":[155],"models.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}