{"id":"https://openalex.org/W4401070664","doi":"https://doi.org/10.1109/tgrs.2024.3434484","title":"Spatial-Spectral\u2013Semantic Cross-Domain Few-Shot Learning for Hyperspectral Image Classification","display_name":"Spatial-Spectral\u2013Semantic Cross-Domain Few-Shot Learning for Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401070664","doi":"https://doi.org/10.1109/tgrs.2024.3434484"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3434484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3434484","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/A5057996314","display_name":"Mengxin Cao","orcid":"https://orcid.org/0000-0001-6389-4433"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengxin Cao","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-6389-4433","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040099809","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0002-4143-0715"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-4143-0715","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033606456","display_name":"Jinyong Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyong Cheng","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-3432-4831","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112316260","display_name":"Guixin Zhao","orcid":"https://orcid.org/0000-0002-0508-2514"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixin Zhao","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"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, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7015-7335","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748278","display_name":"Xiangjun Dong","orcid":"https://orcid.org/0000-0002-5364-5844"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Dong","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-5364-5844","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057996314"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":1.538,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84786567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.9739999771118164,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.972000002861023,"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":0.8368179202079773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454811692237854},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5533964037895203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5508456826210022},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5108225345611572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48812708258628845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3926488161087036},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22965583205223083}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8368179202079773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454811692237854},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5533964037895203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5508456826210022},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5108225345611572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48812708258628845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3926488161087036},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22965583205223083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3434484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3434484","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/G1823081814","display_name":null,"funder_award_id":"62076143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5460562889","display_name":null,"funder_award_id":"2021JC02009","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8321220974","display_name":null,"funder_award_id":"62173193","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W2042873848","https://openalex.org/W2090792028","https://openalex.org/W2240757205","https://openalex.org/W2567257788","https://openalex.org/W2572303978","https://openalex.org/W2591248827","https://openalex.org/W2771181228","https://openalex.org/W2791254153","https://openalex.org/W2898204262","https://openalex.org/W2899341612","https://openalex.org/W2951778096","https://openalex.org/W2962872506","https://openalex.org/W2983590628","https://openalex.org/W3012405452","https://openalex.org/W3023991509","https://openalex.org/W3106239502","https://openalex.org/W3127138883","https://openalex.org/W3127230150","https://openalex.org/W3128776197","https://openalex.org/W3132524115","https://openalex.org/W3132867842","https://openalex.org/W3171853541","https://openalex.org/W3188824417","https://openalex.org/W3191251640","https://openalex.org/W3198280553","https://openalex.org/W3200799048","https://openalex.org/W3214821343","https://openalex.org/W4200173496","https://openalex.org/W4220853886","https://openalex.org/W4281255185","https://openalex.org/W4281633835","https://openalex.org/W4283732315","https://openalex.org/W4283760989","https://openalex.org/W4285124290","https://openalex.org/W4288054357","https://openalex.org/W4288076010","https://openalex.org/W4292828013","https://openalex.org/W4294068665","https://openalex.org/W4296339430","https://openalex.org/W4296913316","https://openalex.org/W4312719508","https://openalex.org/W4313267411","https://openalex.org/W4313555298","https://openalex.org/W4315473866","https://openalex.org/W4321484009","https://openalex.org/W4327522253","https://openalex.org/W4360995443","https://openalex.org/W4365420606","https://openalex.org/W4386212364","https://openalex.org/W4386598498","https://openalex.org/W4386858209","https://openalex.org/W4387164678","https://openalex.org/W4390691396","https://openalex.org/W4391020516","https://openalex.org/W4391547501","https://openalex.org/W6732398393","https://openalex.org/W6736057607","https://openalex.org/W6750109254"],"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/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Preprocessing":[0],"procedures":[1],"are":[2,167],"commonly":[3],"employed":[4],"to":[5,72,92,105,127,142,173,211,236],"reduce":[6],"water-absorption":[7],"bands":[8],"and":[9,149,155,198],"noise":[10,50],"in":[11,27,66,85,88,122,160,192,234],"hyperspectral":[12],"images":[13],"(HSIs).":[14],"Nevertheless,":[15],"they":[16],"typically":[17],"do":[18],"not":[19],"entirely":[20],"eradicate":[21],"noise.":[22],"This":[23,109],"is":[24,57,209],"especially":[25],"evident":[26],"scenarios":[28],"that":[29],"necessitate":[30],"data":[31,80,148],"of":[32,47,55,62,75,114],"exceptional":[33,231],"quality,":[34],"such":[35],"as":[36,169],"cross-domain":[37,101,134,147,187,226],"few-shot":[38,68,102],"classification":[39,56,232],"tasks.":[40,227],"Within":[41],"these":[42],"specific":[43],"conditions,":[44],"the":[45,52,60,67,73,89,107,112,123,144,153,163,194,199],"influence":[46],"remaining":[48],"background":[49],"on":[51,240],"ultimate":[53],"results":[54,229],"substantial.":[58],"Furthermore,":[59],"presence":[61],"sample":[63],"selection":[64],"biases":[65],"task":[69],"might":[70],"lead":[71],"emergence":[74],"false":[76],"statistical":[77],"correlations":[78],"between":[79,146],"from":[81,186],"distinct":[82],"domains,":[83],"resulting":[84],"a":[86,96,139,170,204,217],"decrease":[87],"model\u2019s":[90],"ability":[91],"generalize.":[93],"We":[94],"propose":[95],"new":[97],"method":[98,110],"called":[99],"spatial-spectral\u2013semantic":[100],"learning":[103,113],"(S3CFSL)":[104],"address":[106],"challenge.":[108],"promotes":[111],"transferable":[115,184],"information":[116,185],"by":[117,137,215],"incorporating":[118],"feature":[119,124,171],"denoising":[120],"operations":[121,180],"extraction":[125],"process":[126],"restore":[128],"essential":[129],"information.":[130,151],"Concurrently,":[131],"it":[132],"enhances":[133,222],"distributional":[135,223],"consistency":[136,224],"introducing":[138],"semantic-aware":[140,218],"strategy":[141],"strengthen":[143],"association":[145],"semantic":[150],"Specifically,":[152],"spatial":[154],"spectral":[156],"dual":[157],"channels":[158],"(SSDCs),":[159],"conjunction":[161],"with":[162],"cross-spatial-spectral":[164],"transformer":[165],"(CSST),":[166],"designed":[168,210],"extractor":[172],"acquire":[174],"interactive":[175],"spatial-spectral":[176],"features.":[177],"The":[178],"feature-denoising":[179],"can":[181],"further":[182],"acquiring":[183],"features,":[188],"thus":[189],"facilitating":[190],"meta-learning":[191],"both":[193],"source":[195],"domain":[196,201,206,213],"(SD)":[197],"target":[200],"(TD).":[202],"Meanwhile,":[203],"semantic-enhanced":[205],"alignment":[207],"(SEDA)":[208],"promote":[212],"adaptation":[214],"using":[216],"strategy,":[219],"which":[220],"significantly":[221],"for":[225],"Our":[228],"exhibit":[230],"efficacy":[233],"comparison":[235],"other":[237],"state-of-the-art":[238],"approaches":[239],"three":[241],"public":[242],"HSI":[243],"datasets.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}