{"id":"https://openalex.org/W4387706015","doi":"https://doi.org/10.3390/rs15204994","title":"Hyperspectral Images Weakly Supervised Classification with Noisy Labels","display_name":"Hyperspectral Images Weakly Supervised Classification with Noisy Labels","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4387706015","doi":"https://doi.org/10.3390/rs15204994"},"language":"en","primary_location":{"id":"doi:10.3390/rs15204994","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15204994","pdf_url":"https://www.mdpi.com/2072-4292/15/20/4994/pdf?version=1697595652","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/2072-4292/15/20/4994/pdf?version=1697595652","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115593050","display_name":"Chengyang Liu","orcid":"https://orcid.org/0009-0009-6952-2134"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyang Liu","raw_affiliation_strings":["Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin 150080, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008778016","display_name":"Lin Zhao","orcid":"https://orcid.org/0000-0003-3514-4330"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin 150080, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082226990","display_name":"Haibin Wu","orcid":"https://orcid.org/0000-0002-2453-3691"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Wu","raw_affiliation_strings":["Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin 150080, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008778016"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.953,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78880856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"20","first_page":"4994","last_page":"4994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9919999837875366,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9745000004768372,"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":0.8379999399185181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7278144955635071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7267643213272095},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6973650455474854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6799518465995789},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5045095682144165},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4676814675331116},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4232056736946106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41736191511154175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08243167400360107}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8379999399185181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7278144955635071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267643213272095},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6973650455474854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6799518465995789},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5045095682144165},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4676814675331116},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4232056736946106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41736191511154175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08243167400360107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15204994","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15204994","pdf_url":"https://www.mdpi.com/2072-4292/15/20/4994/pdf?version=1697595652","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:278a8596ea8543c19706c517ddfc8827","is_oa":true,"landing_page_url":"https://doaj.org/article/278a8596ea8543c19706c517ddfc8827","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 20, p 4994 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15204994","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15204994","pdf_url":"https://www.mdpi.com/2072-4292/15/20/4994/pdf?version=1697595652","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387706015.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W248389711","https://openalex.org/W1521436688","https://openalex.org/W1866072925","https://openalex.org/W2007179958","https://openalex.org/W2029316659","https://openalex.org/W2038386419","https://openalex.org/W2154506590","https://openalex.org/W2345118402","https://openalex.org/W2572303978","https://openalex.org/W2582369608","https://openalex.org/W2749506874","https://openalex.org/W2764276316","https://openalex.org/W2799870441","https://openalex.org/W2885593519","https://openalex.org/W2886666371","https://openalex.org/W2889861425","https://openalex.org/W2895799589","https://openalex.org/W2914331134","https://openalex.org/W2949034001","https://openalex.org/W2986799142","https://openalex.org/W2996060033","https://openalex.org/W2999421733","https://openalex.org/W3031015423","https://openalex.org/W3039321110","https://openalex.org/W3044657819","https://openalex.org/W3049655825","https://openalex.org/W3132524115","https://openalex.org/W3132867842","https://openalex.org/W3133682369","https://openalex.org/W3203312104","https://openalex.org/W4206073500","https://openalex.org/W4224247055","https://openalex.org/W4226090899","https://openalex.org/W4240485910","https://openalex.org/W4323644316","https://openalex.org/W4368232741","https://openalex.org/W4368232791","https://openalex.org/W4372054869","https://openalex.org/W6791058016","https://openalex.org/W6791838446","https://openalex.org/W6806144174","https://openalex.org/W6850093138","https://openalex.org/W6852375424"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W3135897568"],"abstract_inverted_index":{"The":[0,122],"deep":[1],"network":[2,151,157],"model":[3,117],"relies":[4],"on":[5,84,94,118,125],"sufficient":[6],"training":[7],"samples":[8,87],"to":[9,25,55,71,105,111,169],"achieve":[10],"superior":[11,168],"processing":[12],"performance,":[13],"which":[14],"limits":[15],"its":[16],"application":[17],"in":[18],"hyperspectral":[19],"image":[20],"(HSI)":[21],"classification.":[22],"In":[23],"order":[24],"perform":[26],"HSI":[27],"classification":[28,163],"with":[29,41,81],"noisy":[30,49,120],"labels,":[31],"a":[32,82],"robust":[33],"weakly":[34],"supervised":[35],"feature":[36],"learning":[37],"(WSFL)":[38],"architecture":[39],"combined":[40],"multi-model":[42],"attention":[43,61,67],"is":[44,138,167],"proposed.":[45],"Specifically,":[46],"the":[47,75,91,97,106,113,116,119,162],"input":[48],"labeled":[50],"data":[51],"are":[52,103],"first":[53],"subjected":[54],"multiple":[56],"groups":[57],"of":[58,115,165],"residual":[59,65,150,156],"spectral":[60,77],"models":[62,146],"and":[63,73,78,89,99,133,153,173],"multi-granularity":[64],"spatial":[66,79],"models,":[68],"enabling":[69],"WSFL":[70,137,166],"refine":[72],"optimize":[74],"extracted":[76],"features,":[80],"focus":[83],"extracting":[85],"clean":[86],"information":[88],"reducing":[90],"model\u2019s":[92],"dependence":[93],"labels.":[95],"Finally,":[96],"fused":[98],"optimized":[100],"spectral-spatial":[101,149],"features":[102],"mapped":[104],"multilayer":[107],"perceptron":[108],"(MLP)":[109],"classifier":[110],"increase":[112],"constraint":[114],"samples.":[121],"experimental":[123],"results":[124],"public":[126],"datasets,":[127],"including":[128],"Pavia":[129],"Center,":[130],"WHU-Hi":[131],"LongKou,":[132],"HangZhou,":[134],"show":[135],"that":[136],"better":[139],"at":[140],"classifying":[141],"noise":[142],"labels":[143],"than":[144],"excellent":[145],"such":[147],"as":[148],"(SSRN)":[152],"dual":[154],"channel":[155],"(DCRN).":[158],"On":[159],"Hangzhou":[160],"dataset,":[161],"accuracy":[164],"DCRN":[170],"by":[171,175],"6.02%":[172],"SSRN":[174],"7.85%,":[176],"respectively.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}