{"id":"https://openalex.org/W4401507476","doi":"https://doi.org/10.1109/lgrs.2024.3441938","title":"S2JO: Spatial\u2013Spectral Joint Optimization for Hyperspectral Image Classification With Noisy Labels","display_name":"S2JO: Spatial\u2013Spectral Joint Optimization for Hyperspectral Image Classification With Noisy Labels","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401507476","doi":"https://doi.org/10.1109/lgrs.2024.3441938"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3441938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3441938","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/A5101609903","display_name":"Jiaqi Feng","orcid":"https://orcid.org/0009-0005-4185-3856"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaqi Feng","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-4185-3856","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024164148","display_name":"Qixiong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixiong Wang","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040294237","display_name":"Hongxiang Jiang","orcid":"https://orcid.org/0000-0002-6752-0946"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxiang Jiang","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6752-0946","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001420166","display_name":"Guangyun Zhang","orcid":"https://orcid.org/0000-0003-2183-9553"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyun Zhang","raw_affiliation_strings":["Center of Remote Sensing, Nanjing Tech University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2183-9553","affiliations":[{"raw_affiliation_string":"Center of Remote Sensing, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068122673","display_name":"Jihao Yin","orcid":"https://orcid.org/0000-0002-6773-0193"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihao Yin","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6773-0193","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101609903"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.9228,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77956706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"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":0.9898999929428101,"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":0.9898999929428101,"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":0.9290209412574768},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6722757816314697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6611383557319641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.626004695892334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5741860866546631},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.5188928246498108},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44916942715644836},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43143096566200256},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.4266817569732666},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4162721633911133},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40048715472221375},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11851713061332703}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9290209412574768},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6722757816314697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6611383557319641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.626004695892334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5741860866546631},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.5188928246498108},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44916942715644836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43143096566200256},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.4266817569732666},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4162721633911133},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40048715472221375},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11851713061332703},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3441938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3441938","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/G7480179662","display_name":null,"funder_award_id":"2022ZD0117400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2890022946","https://openalex.org/W3025527372","https://openalex.org/W3042609801","https://openalex.org/W3098551073","https://openalex.org/W3203312104","https://openalex.org/W4285725870","https://openalex.org/W4286908677","https://openalex.org/W4312766345","https://openalex.org/W4312815172","https://openalex.org/W4313023122","https://openalex.org/W4383113403","https://openalex.org/W4386275830","https://openalex.org/W4388157208","https://openalex.org/W6797399245","https://openalex.org/W6798837711"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W2800956885","https://openalex.org/W4386427838","https://openalex.org/W3047444742","https://openalex.org/W2391021239","https://openalex.org/W2049189005","https://openalex.org/W2054836752","https://openalex.org/W3178760882","https://openalex.org/W2765547586","https://openalex.org/W2107175121"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"annotation":[3],"often":[4],"suffers":[5],"from":[6],"noisy":[7,26,40,54,85,121],"labels,":[8,55],"which":[9],"brings":[10],"challenges":[11],"in":[12],"classification":[13,52],"models":[14],"training.":[15],"Existing":[16],"methods":[17],"typically":[18],"address":[19],"this":[20],"issue":[21],"through":[22],"two":[23],"separate":[24],"stages:":[25],"labels":[27,86],"cleaning":[28],"and":[29,74],"robust":[30],"model":[31,34],"design.":[32],"However,":[33],"performance":[35],"is":[36],"constrained":[37],"by":[38,88],"insufficient":[39],"label":[41],"filtering.":[42],"To":[43],"explore":[44],"an":[45],"end-to-end":[46],"joint":[47,60],"optimization":[48,61],"framework":[49],"for":[50,99],"HSI":[51,128],"with":[53],"we":[56],"propose":[57],"a":[58,68,75],"spatial\u2013spectral":[59],"(S2JO)":[62],"network.":[63,101],"The":[64,81],"S2JO":[65,136],"consists":[66],"of":[67,133],"spatial":[69],"nonuniform":[70],"sampling":[71],"(SNS)":[72],"module":[73,83,105],"spectral":[76,108],"prototypes":[77,109],"learning":[78],"(SPL)":[79],"module.":[80],"SNS":[82],"filters":[84],"dynamically":[87],"picking":[89],"out":[90],"the":[91,96,100,103,117,126,131,134],"top-N":[92],"confident":[93],"points,":[94],"purifying":[95],"input":[97,118],"samples":[98],"Meanwhile,":[102],"SPL":[104],"uses":[106],"multicenter":[107],"to":[110],"extract":[111],"discriminate":[112],"features":[113],"accurately":[114],"even":[115],"if":[116],"contains":[119],"some":[120],"labels.":[122],"Extensive":[123],"experiments":[124],"on":[125],"C2Seg-Beijing":[127],"subdataset":[129],"demonstrate":[130],"superiority":[132],"proposed":[135],"over":[137],"other":[138],"state-of-the-art":[139],"methods.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}