{"id":"https://openalex.org/W4392543371","doi":"https://doi.org/10.1109/lgrs.2024.3373628","title":"Progressive Contrastive Learning Based on Noisy Negatives Cleaning for Hyperspectral Image Classification","display_name":"Progressive Contrastive Learning Based on Noisy Negatives Cleaning for Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392543371","doi":"https://doi.org/10.1109/lgrs.2024.3373628"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3373628","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lgrs.2024.3373628","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","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/A5008778016","display_name":"Lin Zhao","orcid":"https://orcid.org/0000-0003-3514-4330"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3514-4330","affiliations":[{"raw_affiliation_string":"Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086825592","display_name":"Yang Feng","orcid":"https://orcid.org/0009-0004-5559-9556"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Feng","raw_affiliation_strings":["Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0009-0004-5559-9556","affiliations":[{"raw_affiliation_string":"Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102930729","display_name":"Yuanjie Dai","orcid":"https://orcid.org/0009-0007-1312-2102"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YuanJie Dai","raw_affiliation_strings":["Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0009-0007-1312-2102","affiliations":[{"raw_affiliation_string":"Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056982186","display_name":"Jianhui Wu","orcid":"https://orcid.org/0000-0002-7226-1619"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Wu","raw_affiliation_strings":["Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7226-1619","affiliations":[{"raw_affiliation_string":"Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042231008","display_name":"Guoyun Zhang","orcid":"https://orcid.org/0000-0002-1034-2114"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyun Zhang","raw_affiliation_strings":["Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1034-2114","affiliations":[{"raw_affiliation_string":"Hunan Engineering Technology Research Center for 3-D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100286613"],"apc_list":null,"apc_paid":null,"fwci":0.2712,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53364097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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":0.9987999796867371,"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/T10057","display_name":"Face and Expression Recognition","score":0.9711999893188477,"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":0.9541000127792358,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8955463767051697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7042479515075684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693115234375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5872499942779541},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49829769134521484},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41988861560821533},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38467150926589966}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8955463767051697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7042479515075684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693115234375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5872499942779541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49829769134521484},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41988861560821533},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38467150926589966}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3373628","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lgrs.2024.3373628","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G608680131","display_name":null,"funder_award_id":"2023JJ30284","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2593119498","https://openalex.org/W2898204262","https://openalex.org/W2914331134","https://openalex.org/W3043183554","https://openalex.org/W3106743555","https://openalex.org/W3214821343","https://openalex.org/W4226182700","https://openalex.org/W4296339430","https://openalex.org/W4313119615","https://openalex.org/W4315606133","https://openalex.org/W4322731396","https://openalex.org/W4366504084","https://openalex.org/W6733688852","https://openalex.org/W6783990618","https://openalex.org/W6797016505"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W4313014865","https://openalex.org/W2546503577"],"abstract_inverted_index":{"As":[0],"an":[1,98],"effective":[2],"unsupervised":[3],"learning":[4,7],"method,":[5],"contrastive":[6],"(CL)":[8],"has":[9],"made":[10],"remarkable":[11],"progress":[12],"in":[13,148,159],"the":[14,39,45,48,71,77,118,132,136,140,149,154,160,166,170,175,178,183],"hyperspectral":[15],"image":[16],"(HSI)":[17],"classification.":[18,92],"The":[19,67],"core":[20],"idea":[21],"of":[22,43,59,73,135,169],"CL":[23,81,121],"is":[24,88,102,122],"to":[25,38,95,130,182],"learn":[26],"representations":[27,168],"by":[28],"attracting":[29],"positive":[30],"samples":[31,58],"and":[32],"repelling":[33],"negative":[34,57],"samples.":[35],"However,":[36],"due":[37],"patch":[40],"sampling":[41],"mode":[42],"HSI,":[44],"patches":[46],"with":[47,114],"same":[49],"semantic":[50],"information":[51],"might":[52],"be":[53],"undesirably":[54],"considered":[55],"as":[56,139],"each":[60,113],"other,":[61],"which":[62,163],"are":[63,145],"called":[64],"\u201cnoisy":[65],"negatives.\u201d":[66],"noisy":[68,84,143],"negatives":[69,85,144],"deteriorate":[70],"performance":[72,180],"CL.":[74],"To":[75],"address":[76],"issue,":[78],"a":[79],"progressive":[80],"based":[82,152],"on":[83,153],"cleaning":[86],"(ProCoL)":[87],"proposed":[89],"for":[90],"HSI":[91],"In":[93,117],"contrast":[94],"existing":[96],"CL,":[97],"adjunct":[99],"low-dimensional":[100,161],"subspace":[101],"introduced.":[103],"Additionally,":[104],"encoder":[105],"training":[106,141],"was":[107],"conceptually":[108],"divided":[109],"into":[110],"two":[111,126],"stages":[112],"distinct":[115],"roles.":[116],"rough-training":[119],"stage,":[120],"applied":[123],"concurrently":[124],"within":[125],"different":[127],"dimensional":[128],"subspaces":[129],"improve":[131],"discriminative":[133],"ability":[134],"encoder.":[137,171],"Subsequently,":[138],"stabilizes,":[142],"gradually":[146],"eliminated":[147],"retraining":[150],"stage":[151],"dynamically":[155],"generated":[156],"pseudo":[157],"labels":[158],"space,":[162],"further":[164],"improves":[165],"latent":[167],"Experiments":[172],"show":[173],"that":[174],"ProCoL":[176],"achieves":[177],"best":[179],"compared":[181],"previous":[184],"state-of-the-art":[185],"methods.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}