{"id":"https://openalex.org/W7160853666","doi":"https://doi.org/10.1109/tip.2026.3690328","title":"Reconstruction-Contrast Coupling Learning for Open-Set Semi-Supervised Hyperspectral Image Classification","display_name":"Reconstruction-Contrast Coupling Learning for Open-Set Semi-Supervised Hyperspectral Image Classification","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160853666","doi":"https://doi.org/10.1109/tip.2026.3690328","pmid":"https://pubmed.ncbi.nlm.nih.gov/42113662"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3690328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3690328","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100700666","display_name":"Han Sun","orcid":"https://orcid.org/0009-0002-8186-2376"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, School of Computer Science, and the Academy of Frontier Interdisciplinary Research, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1314-4957","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, School of Computer Science, and the Academy of Frontier Interdisciplinary Research, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135856394","display_name":"Renyi Chen","orcid":"https://orcid.org/0000-0002-6564-2376"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renyi Chen","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6564-2376","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135842434","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-1551-064X"},"institutions":[{"id":"https://openalex.org/I2800091995","display_name":"West China Medical Center of Sichuan University","ror":"https://ror.org/040nggs60","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I24185976","https://openalex.org/I2800091995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-1551-064X","affiliations":[{"raw_affiliation_string":"West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I2800091995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135891507","display_name":"Wenjing Chen","orcid":"https://orcid.org/0000-0003-3878-7681"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Chen","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3878-7681","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032396975","display_name":"Wei Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xie","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, School of Computer Science, and the Academy of Frontier Interdisciplinary Research, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7734-1274","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, School of Computer Science, and the Academy of Frontier Interdisciplinary Research, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135832497","display_name":"Xiaoqiang Lu","orcid":"https://orcid.org/0000-0002-7037-5188"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Lu","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7037-5188","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73261089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"5032","last_page":"5047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.8069000244140625,"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":0.8069000244140625,"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":0.08529999852180481,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.010599999688565731,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6456000208854675},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5705999732017517},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.552299976348877},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41499999165534973},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.39070001244544983},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7132999897003174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6456000208854675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6035000085830688},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5705999732017517},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.552299976348877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4255000054836273},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41499999165534973},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.39070001244544983},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3700000047683716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.28049999475479126},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3690328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3690328","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:42113662","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42113662","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2404363893","display_name":null,"funder_award_id":"CCNU25ai041","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4641068882","display_name":null,"funder_award_id":"62201222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8574934902","display_name":null,"funder_award_id":"42401473","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Although":[0],"numerous":[1],"semi-supervised":[2,16,92],"learning":[3,17,85,103,106,126,150],"methods":[4,26],"have":[5],"been":[6],"elaborately":[7],"designed":[8],"for":[9,90],"hyperspectral":[10],"image":[11],"(HSI)":[12],"classification,":[13,94],"most":[14],"existing":[15],"paradigms":[18],"still":[19],"rely":[20],"on":[21,207],"a":[22,49,82,122,177],"closed-set":[23,56],"assumption.":[24],"These":[25],"implicitly":[27],"assume":[28],"that":[29,41,212],"the":[30,55,97,109,134,153,173,194],"category":[31,52],"spaces":[32],"of":[33],"labeled":[34,197],"and":[35,104,114,166,189,200,225,228],"unlabeled":[36,44,68],"samples":[37,45,164],"are":[38],"completely":[39],"aligned,":[40],"is,":[42],"all":[43],"must":[46],"belong":[47,71],"to":[48,72,107,132,137,151,156,183],"pre-defined":[50],"known":[51,224],"set.":[53],"However,":[54],"assumption":[57],"is":[58,181],"particularly":[59],"problematic":[60],"in":[61,172,222],"practical":[62],"remote":[63],"sensing":[64],"scenarios":[65],"because":[66],"partial":[67],"data":[69],"inevitably":[70],"unknown":[73,226],"categories.":[74],"To":[75],"address":[76],"this":[77,79],"challenge,":[78],"paper":[80],"proposes":[81],"reconstruction-contrast":[83],"coupling":[84],"(ReCo<sup":[86],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[87,216],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>L)":[88],"method":[89],"open-set":[91],"HSI":[93,233],"fully":[95],"leveraging":[96],"complementarity":[98],"between":[99,196],"masked":[100,123],"feature":[101,124,144,174],"reconstruction":[102,125],"contrastive":[105,149],"enhance":[108,133],"encoder\u2019s":[110,135,154],"local":[111,139],"detail":[112],"sensitivity":[113],"global":[115,158],"discriminative":[116],"ability.":[117],"Specifically,":[118],"we":[119,147],"first":[120],"apply":[121],"with":[127],"an":[128],"adaptive":[129],"masking":[130],"strategy":[131],"ability":[136],"capture":[138],"details":[140],"by":[141,160,192],"high-quality":[142],"spectral-spatial":[143],"reconstruction.":[145],"Then,":[146],"employ":[148],"strengthen":[152],"capability":[155],"extract":[157],"characteristics":[159],"pulling":[161],"semantically":[162],"similar":[163],"closer":[165],"pushing":[167],"dissimilar":[168],"ones":[169],"farther":[170],"apart":[171],"space.":[175],"Finally,":[176],"pixel-prototype":[178],"deviation":[179],"loss":[180],"proposed":[182,214],"further":[184],"improve":[185],"both":[186,223],"inter-category":[187],"distinguishability":[188],"intra-category":[190],"compactness":[191],"reducing":[193],"distances":[195],"sample":[198],"features":[199],"their":[201],"corresponding":[202],"class":[203],"anchors.":[204],"Extensive":[205],"experiments":[206],"three":[208],"benchmark":[209],"datasets":[210],"demonstrate":[211],"our":[213],"ReCo<sup":[215],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>L":[217],"achieves":[218],"superior":[219],"classification":[220,234],"performance":[221],"categories":[227],"significantly":[229],"surpasses":[230],"10":[231],"state-of-the-art":[232],"methods.":[235],"The":[236],"code":[237],"will":[238],"be":[239],"available":[240],"at":[241],"https://github.com/repository-AI-chen/ReCo2L.":[242]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-12T00:00:00"}
