{"id":"https://openalex.org/W4353066998","doi":"https://doi.org/10.3390/rs15061713","title":"Nearest Neighboring Self-Supervised Learning for Hyperspectral Image Classification","display_name":"Nearest Neighboring Self-Supervised Learning for Hyperspectral Image Classification","publication_year":2023,"publication_date":"2023-03-22","ids":{"openalex":"https://openalex.org/W4353066998","doi":"https://doi.org/10.3390/rs15061713"},"language":"en","primary_location":{"id":"doi:10.3390/rs15061713","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15061713","pdf_url":"https://www.mdpi.com/2072-4292/15/6/1713/pdf?version=1679488380","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/6/1713/pdf?version=1679488380","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029830288","display_name":"Yao Qin","orcid":"https://orcid.org/0000-0002-3777-6334"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Qin","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi\u2019an 710024, China","Northwest Institute of Nuclear Technology, Xi'an 710024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi\u2019an 710024, China","institution_ids":["https://openalex.org/I4210151975"]},{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an 710024, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079586899","display_name":"Yuanxin Ye","orcid":"https://orcid.org/0000-0001-6843-6722"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxin Ye","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China"],"raw_orcid":"https://orcid.org/0000-0001-6843-6722","affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037049534","display_name":"Yue Zhao","orcid":"https://orcid.org/0000-0003-0342-2797"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhao","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hubei University, Wuhan 430062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hubei University, Wuhan 430062, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051459019","display_name":"Junzheng Wu","orcid":"https://orcid.org/0000-0002-1825-8988"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzheng Wu","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi\u2019an 710024, China","Northwest Institute of Nuclear Technology, Xi'an 710024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi\u2019an 710024, China","institution_ids":["https://openalex.org/I4210151975"]},{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an 710024, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399334","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0002-7725-5322"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhang","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi\u2019an 710024, China","Northwest Institute of Nuclear Technology, Xi'an 710024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi\u2019an 710024, China","institution_ids":["https://openalex.org/I4210151975"]},{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an 710024, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032931487","display_name":"Kenan Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenan Cheng","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi\u2019an 710024, China","Northwest Institute of Nuclear Technology, Xi'an 710024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi\u2019an 710024, China","institution_ids":["https://openalex.org/I4210151975"]},{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an 710024, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101602255","display_name":"Kun Li","orcid":"https://orcid.org/0000-0002-0012-7322"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Li","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":"https://orcid.org/0000-0002-0012-7322","affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101602255"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.7319,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91246266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"6","first_page":"1713","last_page":"1713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9901000261306763,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7781409621238708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7247412800788879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6722667217254639},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6062455177307129},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5390483736991882},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4198460876941681},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4137870967388153},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37839874625205994},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20723432302474976},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06677603721618652},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05129954218864441}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7781409621238708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7247412800788879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6722667217254639},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6062455177307129},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5390483736991882},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4198460876941681},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4137870967388153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37839874625205994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20723432302474976},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06677603721618652},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05129954218864441},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15061713","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15061713","pdf_url":"https://www.mdpi.com/2072-4292/15/6/1713/pdf?version=1679488380","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2f4a1aea454649f8aef9cdc40e8a7e1c","is_oa":true,"landing_page_url":"https://doaj.org/article/2f4a1aea454649f8aef9cdc40e8a7e1c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 6, p 1713 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/6/1713/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15061713","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 6; Pages: 1713","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15061713","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15061713","pdf_url":"https://www.mdpi.com/2072-4292/15/6/1713/pdf?version=1679488380","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1267725476","display_name":null,"funder_award_id":"62101179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1302225335","display_name":null,"funder_award_id":"42101344","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4353066998.pdf"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1964315230","https://openalex.org/W2074506978","https://openalex.org/W2117539524","https://openalex.org/W2169042894","https://openalex.org/W2194775991","https://openalex.org/W2577238056","https://openalex.org/W2614326984","https://openalex.org/W2737996023","https://openalex.org/W2764276316","https://openalex.org/W2770315464","https://openalex.org/W2775646308","https://openalex.org/W2793645503","https://openalex.org/W2804458818","https://openalex.org/W2808776742","https://openalex.org/W2884355450","https://openalex.org/W2887785636","https://openalex.org/W2889472764","https://openalex.org/W2901461790","https://openalex.org/W2914331134","https://openalex.org/W2922088567","https://openalex.org/W2940678725","https://openalex.org/W2941141441","https://openalex.org/W2943270518","https://openalex.org/W2945501822","https://openalex.org/W2951778096","https://openalex.org/W2955446216","https://openalex.org/W2963158472","https://openalex.org/W2964178928","https://openalex.org/W2974017916","https://openalex.org/W2981501742","https://openalex.org/W3005090678","https://openalex.org/W3005680577","https://openalex.org/W3011495011","https://openalex.org/W3024039333","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3046659257","https://openalex.org/W3046770411","https://openalex.org/W3100932715","https://openalex.org/W3102955142","https://openalex.org/W3103330976","https://openalex.org/W3106239502","https://openalex.org/W3109122403","https://openalex.org/W3111029974","https://openalex.org/W3111982977","https://openalex.org/W3120389167","https://openalex.org/W3125460671","https://openalex.org/W3126650370","https://openalex.org/W3127225435","https://openalex.org/W3133271982","https://openalex.org/W3134919243","https://openalex.org/W3135512617","https://openalex.org/W3171007011","https://openalex.org/W3172902538","https://openalex.org/W3178914557","https://openalex.org/W3194261171","https://openalex.org/W3195051845","https://openalex.org/W3196410189","https://openalex.org/W3200020327","https://openalex.org/W3215768055","https://openalex.org/W3216286842","https://openalex.org/W4206307542","https://openalex.org/W4224882649","https://openalex.org/W4226275810","https://openalex.org/W4283370461","https://openalex.org/W4285206342","https://openalex.org/W4285264965","https://openalex.org/W4293731866","https://openalex.org/W4312846227","https://openalex.org/W6641337122","https://openalex.org/W6779326418","https://openalex.org/W6779997284","https://openalex.org/W6786145911","https://openalex.org/W6791014476","https://openalex.org/W6792051452","https://openalex.org/W6800366098","https://openalex.org/W6800799079","https://openalex.org/W6803675828","https://openalex.org/W6807144946","https://openalex.org/W6810912016","https://openalex.org/W6839041982","https://openalex.org/W6842590485"],"related_works":["https://openalex.org/W3173596272","https://openalex.org/W2028628118","https://openalex.org/W3162567751","https://openalex.org/W4285260836","https://openalex.org/W4221088574","https://openalex.org/W3094076422","https://openalex.org/W4312365371","https://openalex.org/W3046775127","https://openalex.org/W4220686584","https://openalex.org/W4319309271"],"abstract_inverted_index":{"Recently,":[0],"state-of-the-art":[1],"classification":[2,58,150],"performance":[3],"of":[4,25,34,50,74,80,86,99,107,113,122,151,173,184],"natural":[5],"images":[6,36],"has":[7,37],"been":[8,39],"obtained":[9],"by":[10,41,69],"self-supervised":[11,65],"learning":[12,21,66],"(S2L)":[13],"as":[14],"it":[15],"can":[16,132,146],"generate":[17],"latent":[18,31,90],"features":[19],"through":[20],"between":[22,52,71],"different":[23,72],"views":[24],"the":[26,30,48,62,84,166],"same":[27],"images.":[28],"However,":[29],"semantic":[32],"information":[33],"similar":[35,53,130],"hardly":[38],"exploited":[40],"these":[42],"S2L-based":[43],"methods.":[44],"Consequently,":[45],"to":[46,181],"explore":[47],"potential":[49],"S2L":[51,128,185],"samples":[54,82,131],"in":[55,83],"hyperspectral":[56],"image":[57],"(HSIC),":[59],"we":[60,137,168],"propose":[61],"nearest":[63,76,108],"neighboring":[64,77,109],"(N2SSL)":[67],"method,":[68],"interacting":[70],"augmentations":[73],"reliable":[75],"pairs":[78,110],"(RN2Ps)":[79],"HSI":[81,145],"framework":[85],"bootstrap":[87],"your":[88],"own":[89],"(BYOL).":[91],"Specifically,":[92],"there":[93],"are":[94],"four":[95],"main":[96],"steps:":[97],"pretraining":[98],"spectral":[100],"spatial":[101],"residual":[102],"network":[103],"(SSRN)-based":[104],"BYOL,":[105],"generation":[106],"(N2Ps),":[111],"training":[112,162],"BYOL":[114,140],"based":[115],"on":[116,129,142,186],"RN2P,":[117],"final":[118],"classification.":[119,135],"Experimental":[120],"results":[121],"three":[123],"benchmark":[124],"HSIs":[125,153],"validated":[126],"that":[127,139],"facilitate":[133],"subsequent":[134],"Moreover,":[136],"found":[138],"trained":[141],"an":[143],"un-related":[144],"be":[147],"fine-tuned":[148],"for":[149],"other":[152],"with":[154],"less":[155],"computational":[156],"cost":[157],"and":[158],"higher":[159],"accuracy":[160],"than":[161],"from":[163],"scratch.":[164],"Beyond":[165],"methodology,":[167],"present":[169],"a":[170],"comprehensive":[171],"review":[172],"HSI-related":[174],"data":[175],"augmentation":[176],"(DA),":[177],"which":[178],"is":[179],"meaningful":[180],"future":[182],"research":[183],"HSIs.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2023-03-23T00:00:00"}
