{"id":"https://openalex.org/W4406457915","doi":"https://doi.org/10.1109/tgrs.2025.3530434","title":"Deep Spectral Clustering With Projected Adaptive Feature Selection","display_name":"Deep Spectral Clustering With Projected Adaptive Feature Selection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406457915","doi":"https://doi.org/10.1109/tgrs.2025.3530434"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3530434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3530434","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/A5013718214","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-5140-5126"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027191110","display_name":"Zeyang Bi","orcid":"https://orcid.org/0009-0009-6957-8955"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Bi","raw_affiliation_strings":["School of Artificial Intelligence, OPtics and ElectroNics (iOPEN) and the School of Computer Science, Northwestern Polytechnical University, Xi’an, China","OPtics and ElectroNics (iOPEN) and the School of Computer Science, School of Artificial Intelligence, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN) and the School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"OPtics and ElectroNics (iOPEN) and the School of Computer Science, School of Artificial Intelligence, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038915198","display_name":"Peican Zhu","orcid":"https://orcid.org/0000-0002-8389-1093"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peican Zhu","raw_affiliation_strings":["School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023215544","display_name":"Aihong Yuan","orcid":"https://orcid.org/0000-0002-7349-1483"},"institutions":[{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aihong Yuan","raw_affiliation_strings":["College of Information Engineering, Northwest A&F University, Yangling, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Northwest A&F University, Yangling, China","institution_ids":["https://openalex.org/I89652312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013718214"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":3.6542,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91587532,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8795999884605408,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8795999884605408,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6803112030029297},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6744643449783325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6075590252876282},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.601471483707428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5494392514228821},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4983553886413574},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4780210256576538},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35429126024246216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.336361289024353},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1902213990688324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803112030029297},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6744643449783325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6075590252876282},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.601471483707428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5494392514228821},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4983553886413574},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4780210256576538},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35429126024246216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.336361289024353},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1902213990688324},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3530434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3530434","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":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4820425477","display_name":null,"funder_award_id":"61871470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5639814429","display_name":null,"funder_award_id":"62201471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7246582587","display_name":null,"funder_award_id":"2021JQ-120","funder_id":"https://openalex.org/F4320335953","funder_display_name":"Jilin Scientific and Technological Development Program"},{"id":"https://openalex.org/G8864390640","display_name":null,"funder_award_id":"2022ZD0160402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335953","display_name":"Jilin Scientific and Technological Development Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1661693223","https://openalex.org/W1993962865","https://openalex.org/W2472842823","https://openalex.org/W2577472518","https://openalex.org/W2895548766","https://openalex.org/W2945276054","https://openalex.org/W2962911132","https://openalex.org/W2963840432","https://openalex.org/W3100932715","https://openalex.org/W3106883817","https://openalex.org/W3124196789","https://openalex.org/W3136556271","https://openalex.org/W3155189654","https://openalex.org/W3157142269","https://openalex.org/W3183990868","https://openalex.org/W3191299484","https://openalex.org/W3196655882","https://openalex.org/W3205865791","https://openalex.org/W3212924718","https://openalex.org/W4226453083","https://openalex.org/W4282934494","https://openalex.org/W4285505404","https://openalex.org/W4307342518","https://openalex.org/W4310854277","https://openalex.org/W4311146541","https://openalex.org/W4313591778","https://openalex.org/W4323660261","https://openalex.org/W4365801707","https://openalex.org/W4377079796","https://openalex.org/W4379806182","https://openalex.org/W4385287479","https://openalex.org/W4387190470","https://openalex.org/W4387385671","https://openalex.org/W4387709471","https://openalex.org/W4389104919","https://openalex.org/W4390738949","https://openalex.org/W4390906246","https://openalex.org/W4391305649","https://openalex.org/W4391992450","https://openalex.org/W4400810737","https://openalex.org/W6747544821"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"In":[0],"the":[1,24,41,58,66,78,87,125,166,172,182,188,205],"past":[2],"era":[3,67],"of":[4,26,40,60,68,89,119,185,201,207],"explosive":[5],"data":[6,27,52,161,167],"growth,":[7],"how":[8],"to":[9,23,34,85,109,123,158,180],"deal":[10,35],"with":[11,36,137],"large-scale,":[12],"unlabeled":[13],"remote":[14],"sensing":[15],"images":[16],"(RSIs)":[17],"has":[18,74],"become":[19],"a":[20,49,131,155],"concern.":[21],"Due":[22],"lack":[25],"labels,":[28],"unsupervised":[29,43],"methods":[30],"are":[31],"usually":[32,103],"used":[33,84],"them.":[37],"As":[38],"one":[39],"best":[42],"algorithms,":[44],"spectral":[45],"clustering":[46],"(SC)":[47],"is":[48,82,102,107,122,178,192,211],"very":[50],"effective":[51],"processing":[53],"and":[54,80,149,162,187],"analysis":[55],"technology.":[56,152],"However,":[57,99],"scalability":[59],"SC":[61,136],"affects":[62],"its":[63],"development":[64],"in":[65,77,113],"big":[69],"data.":[70],"Deep":[71],"network":[72,157,191],"technology":[73],"developed":[75],"rapidly":[76],"past,":[79],"it":[81,106],"often":[83],"solve":[86,124],"problem":[88],"out-of-sample":[90],"expansion":[91],"(OOSE)":[92],"that":[93,204],"traditional":[94],"machine":[95],"learning":[96,147],"cannot":[97],"solve.":[98],"because":[100],"RSI":[101,160],"high-dimensional":[104],"data,":[105],"easy":[108],"cause":[110],"dimension":[111],"explosion":[112],"deep":[114,135,146],"networks.":[115],"The":[116],"main":[117,183],"motivation":[118],"this":[120],"work":[121],"above":[126],"problems.":[127],"We":[128,153],"have":[129],"designed":[130],"new":[132],"algorithm":[133],"called":[134],"projected":[138],"adaptive":[139,175],"feature":[140,150,176],"selection":[141],"(DSCFS),":[142],"which":[143],"benefits":[144],"from":[145],"theory":[148],"projection":[151,177],"use":[154],"neural":[156],"map":[159],"then":[163],"further":[164],"process":[165],"through":[168,194],"regularization":[169],"embedding.":[170],"At":[171],"same":[173],"time,":[174],"applied":[179],"extract":[181],"features":[184],"RSI,":[186],"loss":[189],"feedback":[190],"calculated":[193],"these":[195],"two":[196],"steps.":[197],"A":[198],"large":[199],"number":[200],"experiments":[202],"show":[203],"performance":[206],"our":[208],"proposed":[209],"method":[210],"better":[212],"than":[213],"other":[214],"mainstream":[215],"methods.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}