{"id":"https://openalex.org/W4283760989","doi":"https://doi.org/10.1109/tnnls.2022.3185795","title":"Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification","display_name":"Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification","publication_year":2022,"publication_date":"2022-06-30","ids":{"openalex":"https://openalex.org/W4283760989","doi":"https://doi.org/10.1109/tnnls.2022.3185795","pmid":"https://pubmed.ncbi.nlm.nih.gov/35771788"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3185795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3185795","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5054256790","display_name":"Yuxiang Zhang","orcid":"https://orcid.org/0000-0002-2913-3515"},"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":true,"raw_author_name":"Yuxiang Zhang","raw_affiliation_strings":["School of Information and Electronics, and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China"],"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"]}]},{"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"],"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442192","display_name":"Mengmeng Zhang","orcid":"https://orcid.org/0000-0002-5724-9785"},"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":"Mengmeng Zhang","raw_affiliation_strings":["School of Information and Electronics, and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China"],"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328254","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0001-9649-4997"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["Department of Chemistry, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067803447","display_name":"Ran Tao","orcid":"https://orcid.org/0000-0002-5243-7189"},"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":"Ran Tao","raw_affiliation_strings":["School of Information and Electronics, and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China"],"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"]}]},{"author_position":"last","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, Mississippi State, MS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054256790"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":32.3019,"has_fulltext":false,"cited_by_count":301,"citation_normalized_percentile":{"value":0.99830117,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"35","issue":"2","first_page":"1912","last_page":"1925"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9966999888420105,"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":0.9965999722480774,"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":0.8376628756523132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079680323600769},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5853370428085327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5346806049346924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4677000045776367},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44170382618904114},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4277620315551758},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27545642852783203},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17289984226226807}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8376628756523132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079680323600769},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5853370428085327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5346806049346924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4677000045776367},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44170382618904114},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4277620315551758},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27545642852783203},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17289984226226807},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3185795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3185795","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35771788","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35771788","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3966354631","display_name":null,"funder_award_id":"L191004","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G4417359500","display_name":null,"funder_award_id":"U1833203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4883068204","display_name":null,"funder_award_id":"62001023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5564492369","display_name":null,"funder_award_id":"BX20200058","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G572899642","display_name":null,"funder_award_id":"JQ20021","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7394983629","display_name":null,"funder_award_id":"61922013","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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2137900926","https://openalex.org/W2521284359","https://openalex.org/W2572303978","https://openalex.org/W2765739551","https://openalex.org/W2792111852","https://openalex.org/W2890133123","https://openalex.org/W2898204262","https://openalex.org/W2910457605","https://openalex.org/W2912636151","https://openalex.org/W2943605315","https://openalex.org/W2944610797","https://openalex.org/W2962723986","https://openalex.org/W2962987395","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2964288524","https://openalex.org/W2971007343","https://openalex.org/W3004205097","https://openalex.org/W3006462480","https://openalex.org/W3011095215","https://openalex.org/W3012405452","https://openalex.org/W3013064625","https://openalex.org/W3013868170","https://openalex.org/W3016244469","https://openalex.org/W3016410830","https://openalex.org/W3021632667","https://openalex.org/W3034637015","https://openalex.org/W3035730217","https://openalex.org/W3093896170","https://openalex.org/W3104418202","https://openalex.org/W3132867842","https://openalex.org/W3201461236","https://openalex.org/W4293412117","https://openalex.org/W4297813345","https://openalex.org/W6683633756","https://openalex.org/W6697459119","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6738964360","https://openalex.org/W6746260573","https://openalex.org/W6751281049","https://openalex.org/W6753311412","https://openalex.org/W6760184523","https://openalex.org/W6762222478","https://openalex.org/W6767291801","https://openalex.org/W6767471572","https://openalex.org/W6779579431"],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2990774877","https://openalex.org/W3093339210"],"abstract_inverted_index":{"Most":[0],"domain":[1,47,100,177],"adaptation":[2],"(DA)":[3],"methods":[4],"in":[5,43,55,160],"cross-scene":[6],"hyperspectral":[7],"image":[8],"classification":[9,33],"focus":[10],"on":[11,61,103,179,183],"cases":[12],"where":[13],"source":[14],"data":[15,19],"(SD)":[16],"and":[17,112,131,145,151,155,165],"target":[18],"(TD)":[20],"with":[21,74,99,108,114],"the":[22,28,32,52,93,147,152,161,174,189,192,201],"same":[23,29],"classes":[24,42],"are":[25,40,119,137,158,170],"obtained":[26],"by":[27,96],"sensor.":[30],"However,":[31],"performance":[34],"is":[35,57,86,141],"significantly":[36],"reduced":[37],"when":[38],"there":[39],"new":[41],"TD.":[44],"In":[45],"addition,":[46],"alignment,":[48],"as":[49],"one":[50],"of":[51,176,191],"main":[53],"approaches":[54],"DA,":[56],"carried":[58],"out":[59],"based":[60,102],"local":[62],"spatial":[63,70],"information,":[64],"rarely":[65],"taking":[66],"into":[67],"account":[68],"nonlocal":[69,149],"information":[71,79,105],"(nonlocal":[72],"relationships)":[73],"strong":[75],"correspondence.":[76],"A":[77],"graph":[78,104,168],"aggregation":[80],"cross-domain":[81,132,167],"few-shot":[82],"learning":[83],"(Gia-CFSL)":[84],"framework":[85],"proposed,":[87],"intending":[88],"to":[89,143,172],"make":[90],"up":[91],"for":[92,121],"above-mentioned":[94],"shortcomings":[95],"combining":[97],"FSL":[98,122],"alignment":[101],"aggregation.":[106],"SD":[107],"all":[109],"label":[110,117],"samples":[111,118],"TD":[113],"a":[115],"few":[116],"implemented":[120],"episodic":[123],"training.":[124],"Meanwhile,":[125],"intradomain":[126,148],"distribution":[127,156],"extraction":[128],"block":[129,135],"(IDE-block)":[130],"similarity":[133],"aware":[134],"(CSA-block)":[136],"designed.":[138],"The":[139,195],"IDE-block":[140],"used":[142,171],"characterize":[144],"aggregate":[146],"relationships":[150],"interdomain":[153],"feature":[154],"similarities":[157],"captured":[159],"CSA-block.":[162],"Furthermore,":[163],"feature-level":[164],"distribution-level":[166],"alignments":[169],"mitigate":[173],"impact":[175],"shift":[178],"FSL.":[180],"Experimental":[181],"results":[182],"three":[184],"public":[185],"HSI":[186],"datasets":[187],"demonstrate":[188],"superiority":[190],"proposed":[193],"method.":[194],"codes":[196],"will":[197],"be":[198],"available":[199],"from":[200],"website:":[202],"https://github.com/YuxiangZhang-BIT/IEEE_TNNLS_Gia-CFSL.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":98},{"year":2024,"cited_by_count":94},{"year":2023,"cited_by_count":82},{"year":2022,"cited_by_count":12}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}