{"id":"https://openalex.org/W4399169000","doi":"https://doi.org/10.1109/tgrs.2024.3407201","title":"Cross-Domain Few-Shot Hyperspectral Image Classification With Cross-Modal Alignment and Supervised Contrastive Learning","display_name":"Cross-Domain Few-Shot Hyperspectral Image Classification With Cross-Modal Alignment and Supervised Contrastive Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399169000","doi":"https://doi.org/10.1109/tgrs.2024.3407201"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3407201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3407201","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5088024843","display_name":"Zhaokui Li","orcid":"https://orcid.org/0000-0002-5331-7664"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaokui Li","raw_affiliation_strings":["School of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5331-7664","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101776975","display_name":"Chenyang Zhang","orcid":"https://orcid.org/0000-0002-2687-000X"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Zhang","raw_affiliation_strings":["School of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322632","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-2246-6819"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["School of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China","School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7015-7335","affiliations":[{"raw_affiliation_string":"School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA"],"raw_orcid":"https://orcid.org/0000-0001-8354-7500","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006957290","display_name":"Zhuoqun Fang","orcid":"https://orcid.org/0000-0003-1259-5470"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoqun Fang","raw_affiliation_strings":["College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-1259-5470","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027034650","display_name":"Yushi Chen","orcid":"https://orcid.org/0000-0003-2421-0996"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushi Chen","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-2421-0996","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.5925,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97614437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9966999888420105,"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":0.9966999888420105,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9746000170707703,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.923799991607666,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.7639697790145874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6786469221115112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6356165409088135},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5991331338882446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5188156962394714},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4587026834487915},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44625502824783325},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3740517795085907},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3697243332862854},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3582730293273926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18542301654815674},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15021485090255737},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07174608111381531}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7639697790145874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6786469221115112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6356165409088135},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5991331338882446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5188156962394714},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4587026834487915},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44625502824783325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3740517795085907},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3697243332862854},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3582730293273926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18542301654815674},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15021485090255737},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07174608111381531},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3407201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3407201","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5639436844","display_name":null,"funder_award_id":"62171295","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W2114819256","https://openalex.org/W2136251662","https://openalex.org/W2144966944","https://openalex.org/W2154240401","https://openalex.org/W2572303978","https://openalex.org/W2764276316","https://openalex.org/W2767805377","https://openalex.org/W2896457183","https://openalex.org/W2901461790","https://openalex.org/W2941141441","https://openalex.org/W2942454403","https://openalex.org/W2964105864","https://openalex.org/W2991286101","https://openalex.org/W3034637015","https://openalex.org/W3034942609","https://openalex.org/W3035524453","https://openalex.org/W3049655825","https://openalex.org/W3092053846","https://openalex.org/W3099850646","https://openalex.org/W3107769984","https://openalex.org/W3128776197","https://openalex.org/W3132867842","https://openalex.org/W3133682369","https://openalex.org/W3138725786","https://openalex.org/W3154934604","https://openalex.org/W3159481202","https://openalex.org/W3171007011","https://openalex.org/W3204445362","https://openalex.org/W4225630686","https://openalex.org/W4226182700","https://openalex.org/W4283760989","https://openalex.org/W4284970461","https://openalex.org/W4287200570","https://openalex.org/W4293412117","https://openalex.org/W4307076717","https://openalex.org/W4312312750","https://openalex.org/W4312804044","https://openalex.org/W4312882064","https://openalex.org/W4313156423","https://openalex.org/W4313185051","https://openalex.org/W4327522253","https://openalex.org/W4376603370","https://openalex.org/W4377971298","https://openalex.org/W4385061797","https://openalex.org/W4385245566","https://openalex.org/W4385256752","https://openalex.org/W4385518061","https://openalex.org/W4386025622","https://openalex.org/W4386275830","https://openalex.org/W4386858209","https://openalex.org/W4387449263","https://openalex.org/W4390589107","https://openalex.org/W4391305855","https://openalex.org/W6746260573","https://openalex.org/W6755207826","https://openalex.org/W6759807521","https://openalex.org/W6776700526","https://openalex.org/W6779997284","https://openalex.org/W6840530233","https://openalex.org/W6845728527"],"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/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2990774877","https://openalex.org/W3093339210"],"abstract_inverted_index":{"Recently,":[0],"metric-based":[1],"few-shot":[2,81],"learning":[3,91,100,183],"(FSL)":[4],"methods":[5,17],"have":[6],"achieved":[7],"good":[8,160],"performance":[9],"in":[10,42,62,125,163,190],"hyperspectral":[11],"image":[12,24,122,141,172],"(HSI)":[13],"classification.":[14],"However,":[15],"existing":[16],"suffer":[18],"from":[19,103],"two":[20],"problems:":[21],"over-reliance":[22],"on":[23,53,186],"modality":[25],"information":[26,109],"leads":[27],"to":[28,36,150,154,167,199,211,220],"inaccurate":[29],"prototype":[30,34],"representation,":[31],"where":[32],"a":[33,79],"refers":[35],"the":[37,43,46,66,69,74,104,118,130,152,169,176,191,194,200,206,218,227,237,244,247],"centroid":[38],"of":[39,48,65,106,132,171,175,230,246],"each":[40],"class":[41,123,202],"dataset,":[44],"and":[45,50,88,114,128,142,145,232,235],"impact":[47,229],"redundant":[49,231],"noisy":[51,233],"pixels":[52],"model":[54,67,153,219],"discriminability":[55,64],"is":[56,94,252],"rarely":[57],"considered.":[58],"These":[59],"problems":[60],"result":[61],"insufficient":[63],"for":[68],"target":[70,192],"domain.":[71],"To":[72],"address":[73],"above":[75],"issues,":[76],"we":[77,134],"propose":[78],"cross-domain":[80],"HSI":[82],"classification":[83],"framework":[84],"with":[85,159],"cross-modal":[86,136],"alignment":[87,137],"supervised":[89,181],"contrastive":[90,182],"(CDFS-CASCL).":[92],"It":[93],"well":[95],"known":[96],"that":[97],"human":[98],"visual":[99],"greatly":[101],"benefits":[102],"input":[105],"various":[107],"modal":[108],"such":[110],"as":[111,166],"vision,":[112],"language":[113,126],"video.":[115],"Inspired":[116],"by":[117],"way":[119],"humans":[120],"abstract":[121,147],"concepts":[124],"form":[127],"understand":[129],"essence":[131],"classes,":[133],"perform":[135],"(CA)":[138],"between":[139],"similar":[140],"text":[143,148],"prototypes,":[144],"use":[146],"semantics":[149],"guide":[151],"learn":[155,221],"semantic":[156],"related":[157],"features":[158,197,209],"generalization":[161],"ability":[162],"images,":[164],"so":[165],"improve":[168],"accuracy":[170],"prototypes":[173],"representation":[174],"prototypes.":[177],"In":[178],"addition,":[179],"through":[180],"(SCL)":[184],"based":[185],"neighborhood":[187],"pixel":[188],"mask":[189],"domain,":[193],"enhanced":[195,207],"sample":[196,208],"belonging":[198,210],"same":[201],"are":[203,214],"closer,":[204],"while":[205],"different":[212],"classes":[213],"pulled":[215],"further,":[216],"enabling":[217],"mask-robust":[222],"discriminative":[223],"feature":[224],"representations,":[225],"suppressing":[226],"negative":[228],"pixels,":[234],"improving":[236],"model\u2019s":[238],"discriminability.":[239],"The":[240,250],"experimental":[241],"results":[242],"demonstrate":[243],"superiority":[245],"proposed":[248],"CDFS-CASCL.":[249],"code":[251],"available":[253],"at":[254],"https://github.com/Li-ZK/CDFS-CASCL-2024.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
