{"id":"https://openalex.org/W4386223439","doi":"https://doi.org/10.3390/rs15174211","title":"A Collaborative Superpixelwise Autoencoder for Unsupervised Dimension Reduction in Hyperspectral Images","display_name":"A Collaborative Superpixelwise Autoencoder for Unsupervised Dimension Reduction in Hyperspectral Images","publication_year":2023,"publication_date":"2023-08-27","ids":{"openalex":"https://openalex.org/W4386223439","doi":"https://doi.org/10.3390/rs15174211"},"language":"en","primary_location":{"id":"doi:10.3390/rs15174211","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174211","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4211/pdf?version=1693208676","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/2072-4292/15/17/4211/pdf?version=1693208676","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047997849","display_name":"Chao Yao","orcid":"https://orcid.org/0000-0003-0988-6349"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yao","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi\u2019an 710062, China","School of Computer Science, Shaanxi Normal University, Xi'an 710062, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi\u2019an 710062, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi'an 710062, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001014037","display_name":"Lingfeng Zheng","orcid":"https://orcid.org/0009-0006-0601-2581"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfeng Zheng","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi\u2019an 710062, China","School of Computer Science, Shaanxi Normal University, Xi'an 710062, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi\u2019an 710062, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi'an 710062, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108859806","display_name":"Longchao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longchao Feng","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi\u2019an 710062, China","School of Computer Science, Shaanxi Normal University, Xi'an 710062, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi\u2019an 710062, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi'an 710062, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101951353","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0001-7965-7184"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Space Engineering University, Beijing 101416, China"],"affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing 101416, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026436576","display_name":"Zehua Guo","orcid":"https://orcid.org/0000-0001-7314-410X"},"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":"Zehua Guo","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing 100811, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing 100811, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026771368","display_name":"Miao Ma","orcid":"https://orcid.org/0000-0001-7735-6695"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Miao Ma","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi\u2019an 710062, China","School of Computer Science, Shaanxi Normal University, Xi'an 710062, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi\u2019an 710062, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi'an 710062, China","institution_ids":["https://openalex.org/I88830068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026771368"],"corresponding_institution_ids":["https://openalex.org/I88830068"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9737,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78799061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"17","first_page":"4211","last_page":"4211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9951000213623047,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9932000041007996,"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":0.7307925820350647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7111725807189941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6942435503005981},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6916635036468506},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6723262071609497},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.651086688041687},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6109678745269775},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5368253588676453},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5093168020248413},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4866081476211548},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32652202248573303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2523730993270874},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17647221684455872}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7307925820350647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7111725807189941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942435503005981},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6916635036468506},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6723262071609497},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.651086688041687},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6109678745269775},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5368253588676453},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5093168020248413},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4866081476211548},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32652202248573303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2523730993270874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17647221684455872},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15174211","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174211","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4211/pdf?version=1693208676","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:24d29b160b0a4911b12addf8f55c715b","is_oa":true,"landing_page_url":"https://doaj.org/article/24d29b160b0a4911b12addf8f55c715b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 17, p 4211 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/17/4211/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15174211","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 17; Pages: 4211","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15174211","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174211","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4211/pdf?version=1693208676","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":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386223439.pdf"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1677182931","https://openalex.org/W1976359033","https://openalex.org/W1990075722","https://openalex.org/W2000620402","https://openalex.org/W2029316659","https://openalex.org/W2044439250","https://openalex.org/W2053186076","https://openalex.org/W2064886835","https://openalex.org/W2090826137","https://openalex.org/W2100495367","https://openalex.org/W2132773116","https://openalex.org/W2135431554","https://openalex.org/W2138388136","https://openalex.org/W2151288205","https://openalex.org/W2153409933","https://openalex.org/W2154872931","https://openalex.org/W2162698522","https://openalex.org/W2171171329","https://openalex.org/W2187089797","https://openalex.org/W2341545927","https://openalex.org/W2588117332","https://openalex.org/W2793645503","https://openalex.org/W2803177391","https://openalex.org/W2808776742","https://openalex.org/W2887785636","https://openalex.org/W2912961521","https://openalex.org/W2940678725","https://openalex.org/W2944973397","https://openalex.org/W2946951957","https://openalex.org/W2947355197","https://openalex.org/W2950325582","https://openalex.org/W2972505576","https://openalex.org/W2981901304","https://openalex.org/W2986098083","https://openalex.org/W3003326148","https://openalex.org/W3029912995","https://openalex.org/W3046027728","https://openalex.org/W3122774149","https://openalex.org/W3134919243","https://openalex.org/W3178914557","https://openalex.org/W3186040236","https://openalex.org/W3211456594","https://openalex.org/W4225124451","https://openalex.org/W6647795560","https://openalex.org/W6673139122","https://openalex.org/W6679697903","https://openalex.org/W6682644385","https://openalex.org/W6684897833","https://openalex.org/W6704443453","https://openalex.org/W6792051452"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2072166414","https://openalex.org/W4310873165","https://openalex.org/W2292979300","https://openalex.org/W2355395139","https://openalex.org/W2120164251","https://openalex.org/W2002563186"],"abstract_inverted_index":{"The":[0,34,99],"dimension":[1],"reduction":[2],"(DR)":[3],"technique":[4,46],"plays":[5],"an":[6],"important":[7],"role":[8],"in":[9,22,31,77,96,149,156],"hyperspectral":[10],"image":[11],"(HSI)":[12],"processing.":[13],"Among":[14],"various":[15],"DR":[16,45,87],"methods,":[17],"superpixel-based":[18,35,112],"approaches":[19],"offer":[20],"flexibility":[21],"capturing":[23],"spectral\u2013spatial":[24,167],"information":[25],"and":[26,42,165],"have":[27,153],"shown":[28],"great":[29],"potential":[30],"HSI":[32,105,175],"tasks.":[33],"methods":[36,55],"divide":[37],"the":[38,44,48,58,63,65,68,89,104,123,130,140,143,157,163,179],"samples":[39,66,124,141],"into":[40,106],"groups":[41],"apply":[43],"to":[47,122,138,152,185],"small":[49],"groups.":[50],"Nevertheless,":[51],"we":[52],"find":[53],"these":[54],"would":[56],"increase":[57],"intra-class":[59,131],"disparity":[60],"by":[61,102],"neglecting":[62],"fact":[64],"from":[67,142],"same":[69,144],"class":[70],"may":[71],"reside":[72],"on":[73,173],"different":[74,107,150],"superpixels,":[75,151],"resulting":[76],"performance":[78,181],"decay.":[79],"To":[80,128],"address":[81],"this":[82,97,161],"problem,":[83],"a":[84,111,115,133],"novel":[85],"unsupervised":[86],"named":[88],"Collaborative":[90],"superpixelwise":[91],"Auto-Encoder":[92],"(ColAE)":[93],"is":[94,120,136,169],"proposed":[95],"paper.":[98],"ColAE":[100,183],"begins":[101],"segmenting":[103],"homogeneous":[108],"regions":[109],"using":[110],"method.":[113],"Then,":[114],"set":[116],"of":[117,182],"Auto-Encoders":[118],"(AEs)":[119],"applied":[121],"within":[125],"each":[126],"superpixel.":[127],"reduce":[129],"disparity,":[132],"manifold":[134],"loss":[135],"introduced":[137],"restrict":[139],"class,":[145],"even":[146],"if":[147],"located":[148],"similar":[154],"representations":[155],"code":[158],"space.":[159],"In":[160],"way,":[162],"compact":[164],"discriminative":[166],"feature":[168],"obtained.":[170],"Experimental":[171],"results":[172],"three":[174],"data":[176],"sets":[177],"demonstrate":[178],"promising":[180],"compared":[184],"existing":[186],"state-of-the-art":[187],"methods.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}