{"id":"https://openalex.org/W4399666301","doi":"https://doi.org/10.1109/tgrs.2024.3414392","title":"Few-Shot Learning With Prototype Rectification for Cross-Domain Hyperspectral Image Classification","display_name":"Few-Shot Learning With Prototype Rectification for Cross-Domain Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399666301","doi":"https://doi.org/10.1109/tgrs.2024.3414392"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3414392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3414392","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/A5059839991","display_name":"Anyong Qin","orcid":"https://orcid.org/0000-0002-2538-822X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anyong Qin","raw_affiliation_strings":["School of Communications and Information Engineering and the Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2538-822X","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering and the Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110707838","display_name":"Chaoqi Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoqi Yuan","raw_affiliation_strings":["School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661441","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0002-4079-8999"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014932626","display_name":"Xiaoliu Luo","orcid":"https://orcid.org/0000-0002-2365-4950"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliu Luo","raw_affiliation_strings":["College of Science, Chongqing University of Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773623","display_name":"Feng Yang","orcid":"https://orcid.org/0000-0003-0413-8640"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yang","raw_affiliation_strings":["School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-0413-8640","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010200502","display_name":"Tiecheng Song","orcid":"https://orcid.org/0000-0003-1264-2812"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiecheng Song","raw_affiliation_strings":["School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-1264-2812","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021881939","display_name":"Chenqiang Gao","orcid":"https://orcid.org/0000-0003-4174-4148"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenqiang Gao","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-4174-4148","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8809,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.95525524,"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":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9847000241279602,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9830999970436096,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8694824576377869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6146296262741089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6109198331832886},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5110257863998413},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4799776077270508},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4711296260356903},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4637620449066162},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.42308366298675537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41956108808517456},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41368556022644043},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4095655381679535},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17630553245544434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11953994631767273},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06319472193717957}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8694824576377869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6146296262741089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6109198331832886},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5110257863998413},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4799776077270508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4711296260356903},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4637620449066162},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.42308366298675537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41956108808517456},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41368556022644043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4095655381679535},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17630553245544434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11953994631767273},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06319472193717957},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3414392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3414392","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/G3114091882","display_name":null,"funder_award_id":"2021MD703940","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5123270156","display_name":null,"funder_award_id":"62206036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5184008313","display_name":null,"funder_award_id":"62176035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7924284097","display_name":null,"funder_award_id":"2022MD713684","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8450138976","display_name":null,"funder_award_id":"62201111","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1965309615","https://openalex.org/W2068516109","https://openalex.org/W2089685866","https://openalex.org/W2104068492","https://openalex.org/W2104269704","https://openalex.org/W2136251662","https://openalex.org/W2194775991","https://openalex.org/W2572303978","https://openalex.org/W2614256707","https://openalex.org/W2754507318","https://openalex.org/W2764276316","https://openalex.org/W2768537477","https://openalex.org/W2788768841","https://openalex.org/W2898204262","https://openalex.org/W2941387379","https://openalex.org/W2963275094","https://openalex.org/W2964105864","https://openalex.org/W2998468066","https://openalex.org/W3021632667","https://openalex.org/W3034591020","https://openalex.org/W3035576098","https://openalex.org/W3046698617","https://openalex.org/W3064432655","https://openalex.org/W3103753223","https://openalex.org/W3120387732","https://openalex.org/W3132867842","https://openalex.org/W3158900180","https://openalex.org/W3176602994","https://openalex.org/W3177316921","https://openalex.org/W3188824417","https://openalex.org/W3189718454","https://openalex.org/W4214664134","https://openalex.org/W4224938958","https://openalex.org/W4225306310","https://openalex.org/W4225630686","https://openalex.org/W4226043457","https://openalex.org/W4283760989","https://openalex.org/W4285106080","https://openalex.org/W4285505669","https://openalex.org/W4288054357","https://openalex.org/W4309595679","https://openalex.org/W4317761504","https://openalex.org/W4318586146","https://openalex.org/W4323338598","https://openalex.org/W4327522253","https://openalex.org/W4365420606","https://openalex.org/W4367359538","https://openalex.org/W4376456890","https://openalex.org/W4382203304","https://openalex.org/W4385269049","https://openalex.org/W4386075713","https://openalex.org/W4388240245","https://openalex.org/W6717697761","https://openalex.org/W6730389898","https://openalex.org/W6750109254","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Deep":[0],"learning":[1,52],"has":[2,12],"been":[3],"extensively":[4],"applied":[5],"to":[6,92,133,158],"hyperspectral":[7],"image":[8],"(HSI)":[9],"classification":[10,25,40],"and":[11,71,115,154,170],"achieved":[13],"significant":[14],"success.":[15],"However,":[16,58],"the":[17,35,59,107,111,135,151,155,165,192],"number":[18],"of":[19,37,61,110,167],"labeled":[20],"samples":[21],"available":[22,183],"for":[23,50,86,121],"HSI":[24,38,89,184],"tasks":[26],"is":[27],"typically":[28,65],"limited":[29],"in":[30],"practical":[31],"applications,":[32],"which":[33,104,162],"makes":[34],"high-accuracy":[36],"small-sample":[39],"still":[41],"a":[42,81,99,117,128,172],"challenging":[43],"research":[44],"task.":[45],"Therefore,":[46],"metric-based":[47],"prototypical":[48],"networks":[49],"few-shot":[51,88],"(FSL)":[53],"have":[54,66],"become":[55],"increasingly":[56],"popular.":[57],"majority":[60],"existing":[62,193],"FSL":[63,194],"methods":[64],"problems":[67],"with":[68],"biased":[69],"prototypes":[70],"domain":[72,149,153,157,160,168,175],"shifts.":[73],"To":[74],"address":[75],"these":[76],"issues,":[77],"this":[78],"article":[79],"proposed":[80,189],"prototype":[82,101,114,120,142],"rectification":[83,102],"network":[84],"framework":[85],"cross-domain":[87],"classification.":[90],"Specifically,":[91],"obtain":[93,116],"more":[94,118,173],"representative":[95,119],"prototypes,":[96],"we":[97,126,145],"designed":[98],"query-guided":[100],"module,":[103],"can":[105],"rectify":[106],"feature":[108],"distribution":[109],"support":[112],"set":[113],"subsequent":[122],"training":[123],"tasks.":[124],"Then,":[125],"introduced":[127],"prototype-based":[129],"interclass":[130,136],"loss":[131],"function":[132],"alleviate":[134,159],"confusion":[137],"that":[138,187],"may":[139],"result":[140],"from":[141],"rectification.":[143],"Furthermore,":[144],"construct":[146],"an":[147],"intermediate":[148],"between":[150],"source":[152],"target":[156],"shift,":[161],"helps":[163],"mitigate":[164],"difficulties":[166],"transfer":[169],"achieve":[171],"comprehensive":[174],"alignment.":[176],"The":[177],"experimental":[178],"results":[179],"on":[180],"four":[181],"publicly":[182],"datasets":[185],"demonstrate":[186],"our":[188],"method":[190],"outperforms":[191],"methods.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}