{"id":"https://openalex.org/W4388543768","doi":"https://doi.org/10.1109/tgrs.2023.3331888","title":"Self-Supervised Learning With Learnable Sparse Contrastive Sampling for Hyperspectral Image Classification","display_name":"Self-Supervised Learning With Learnable Sparse Contrastive Sampling for Hyperspectral Image Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388543768","doi":"https://doi.org/10.1109/tgrs.2023.3331888"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3331888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3331888","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/A5087813097","display_name":"Miaomiao Liang","orcid":"https://orcid.org/0000-0002-4289-7114"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaomiao Liang","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0002-4289-7114","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","institution_ids":["https://openalex.org/I4510145"]},{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101796785","display_name":"Jian Dong","orcid":"https://orcid.org/0009-0006-5838-4299"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Dong","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China"],"raw_orcid":"https://orcid.org/0009-0006-5838-4299","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","institution_ids":["https://openalex.org/I4510145"]},{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719444","display_name":"Lingjuan Yu","orcid":"https://orcid.org/0000-0003-1118-4792"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingjuan Yu","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0003-1118-4792","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","institution_ids":["https://openalex.org/I4510145"]},{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064993228","display_name":"Xiangchun Yu","orcid":"https://orcid.org/0000-0001-6206-450X"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangchun Yu","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0001-6206-450X","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","institution_ids":["https://openalex.org/I4510145"]},{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061913887","display_name":"Zhe Meng","orcid":"https://orcid.org/0000-0002-2364-2749"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Meng","raw_affiliation_strings":["School of Telecommunication and Information Engineering, Xi&#x2019;an University of Posts and Telecommunications, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2364-2749","affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi&#x2019;an University of Posts and Telecommunications, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.7329,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71762137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958000183105469,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.6915010213851929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.691260039806366},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6376733183860779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6303187608718872},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5666214227676392},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5430587530136108},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5048723816871643},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5046886205673218},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.4735904335975647},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41316521167755127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3908027410507202},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2481701374053955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2035771608352661},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13824930787086487},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0929042398929596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915010213851929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.691260039806366},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6376733183860779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6303187608718872},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5666214227676392},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5430587530136108},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5048723816871643},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5046886205673218},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4735904335975647},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41316521167755127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3908027410507202},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2481701374053955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2035771608352661},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13824930787086487},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0929042398929596},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3331888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3331888","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":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2139676187","display_name":null,"funder_award_id":"2022JQ-704","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G2201082653","display_name":null,"funder_award_id":"20224BAB212013","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G3668956084","display_name":null,"funder_award_id":"62261027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3995057478","display_name":null,"funder_award_id":"20224BAB212008","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G4671113728","display_name":null,"funder_award_id":"20212ACB202003","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G5481818271","display_name":null,"funder_award_id":"20224BAB202002","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G7894429369","display_name":"\u9762\u5411\u89c6\u9891\u76d1\u63a7\u7684\u65f6\u7a7a\u6ce8\u610f\u529b\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u591a\u76ee\u6807\u8ddf\u8e2a\u7814\u7a76","funder_award_id":"62066018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8385642319","display_name":null,"funder_award_id":"62266020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8796033106","display_name":null,"funder_award_id":"61901198","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/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1990895816","https://openalex.org/W2194775991","https://openalex.org/W2757910899","https://openalex.org/W2842511635","https://openalex.org/W2942454403","https://openalex.org/W2951292523","https://openalex.org/W2981901304","https://openalex.org/W3004925702","https://openalex.org/W3035524453","https://openalex.org/W3036085921","https://openalex.org/W3108655343","https://openalex.org/W3138415272","https://openalex.org/W3138725786","https://openalex.org/W3158714121","https://openalex.org/W3166500718","https://openalex.org/W3178914557","https://openalex.org/W3200020327","https://openalex.org/W3209185908","https://openalex.org/W3216860461","https://openalex.org/W4206307542","https://openalex.org/W4226182700","https://openalex.org/W4226275810","https://openalex.org/W4285107185","https://openalex.org/W4293193074","https://openalex.org/W4297808394","https://openalex.org/W4310813115","https://openalex.org/W4312789082","https://openalex.org/W4312804044","https://openalex.org/W4312904550","https://openalex.org/W4313156423","https://openalex.org/W4317438620","https://openalex.org/W4327522253","https://openalex.org/W4361799030","https://openalex.org/W4365442735","https://openalex.org/W4366504084","https://openalex.org/W4385800872","https://openalex.org/W6744513255","https://openalex.org/W6764266060","https://openalex.org/W6777179611","https://openalex.org/W6799416569","https://openalex.org/W6803308325"],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"Contrastive":[0,61],"learning":[1,46],"with":[2,13,18,29],"learnable":[3],"examples":[4],"performs":[5],"outstandingly":[6],"in":[7,35,115],"data":[8],"representation.":[9],"However,":[10],"when":[11,27],"dealing":[12],"hard":[14],"samples,":[15],"instance-level":[16],"alignment":[17],"excessive":[19],"uniformity":[20],"may":[21],"descend":[22],"into":[23],"trivial":[24,131],"clusters,":[25],"especially":[26],"confronted":[28],"inter-class":[30],"similarity":[31],"and":[32,74,123,133],"intra-class":[33],"diversity":[34],"hyperspectral":[36],"images.":[37],"To":[38],"solve":[39],"this":[40],"problem,":[41],"we":[42,86,110],"regard":[43],"prototypical":[44],"contrastive":[45,84,127],"as":[47],"tracing":[48],"the":[49,80,94,99,117],"potential":[50,119],"probability":[51,97],"density":[52,103],"distribution.":[53],"Then,":[54],"a":[55,89],"novel":[56],"pre-training":[57],"method,":[58],"Learnable":[59],"Sparse":[60],"Sampling":[62],"(LSCoSa),":[63],"is":[64,157],"proposed":[65],"for":[66,105,126],"discriminative":[67],"representation":[68],"learning,":[69,85,114],"containing":[70],"sparse":[71,106],"positive":[72,107],"sampling":[73],"multiple":[75,112],"positives":[76,113,120],"learning.":[77],"Specifically,":[78],"on":[79,93,140],"basis":[81],"of":[82,98],"cooperative-adversarial":[83],"first":[87],"exert":[88],"KL":[90],"divergence":[91],"regularizer":[92],"average":[95],"activation":[96],"prototypes,":[100],"suppressing":[101],"fake":[102],"prototypes":[104],"sampling.":[108],"Furthermore,":[109],"propose":[111],"which":[116],"top-k":[118],"are":[121],"retrieved":[122],"dynamically":[124],"weighted":[125],"supervision,":[128],"to":[129],"avoid":[130],"clusters":[132],"cover":[134],"satisfying":[135],"semantic":[136],"variations.":[137],"Comprehensive":[138],"experiments":[139],"three":[141],"HSI":[142],"benchmark":[143],"datasets":[144],"demonstrate":[145],"that":[146],"LSCoSa":[147],"achieves":[148],"significant":[149],"advantages":[150],"over":[151],"other":[152],"HSIC":[153],"methods.":[154],"The":[155],"code":[156],"available":[158],"at":[159],"https://github.com/sakurashine/LSCoSa.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
