{"id":"https://openalex.org/W2896340099","doi":"https://doi.org/10.1109/tgrs.2018.2868796","title":"Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection","display_name":"Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection","publication_year":2018,"publication_date":"2018-10-08","ids":{"openalex":"https://openalex.org/W2896340099","doi":"https://doi.org/10.1109/tgrs.2018.2868796","mag":"2896340099"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2868796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2868796","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/A5010847146","display_name":"Han Zhai","orcid":"https://orcid.org/0000-0001-7984-895X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhai","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7894-5755","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6890-3650","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000898259","display_name":"Pingxiang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingxiang Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.3569,"has_fulltext":false,"cited_by_count":133,"citation_normalized_percentile":{"value":0.98410203,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"57","issue":"3","first_page":"1723","last_page":"1740"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9939000010490417,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9883999824523926,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8250324726104736},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6684564352035522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5824288725852966},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5657015442848206},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.56535804271698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5244852900505066},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49174192547798157},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.47585198283195496},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42939502000808716},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.4219009280204773},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.369462788105011},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3484112620353699},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34532320499420166},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25878119468688965},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09670072793960571}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8250324726104736},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6684564352035522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824288725852966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5657015442848206},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.56535804271698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5244852900505066},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49174192547798157},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.47585198283195496},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42939502000808716},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.4219009280204773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.369462788105011},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3484112620353699},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34532320499420166},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25878119468688965},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09670072793960571},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2868796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2868796","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":0.4099999964237213,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G2467622297","display_name":null,"funder_award_id":"41711530709","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5068573622","display_name":null,"funder_award_id":"2018YFB0504500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6797973823","display_name":null,"funder_award_id":"41571362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8145771212","display_name":null,"funder_award_id":"61871298","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W1932531222","https://openalex.org/W1944540851","https://openalex.org/W1966872876","https://openalex.org/W1972693409","https://openalex.org/W1981458038","https://openalex.org/W1982545958","https://openalex.org/W1993962865","https://openalex.org/W1996213136","https://openalex.org/W1997201895","https://openalex.org/W2008847349","https://openalex.org/W2012255037","https://openalex.org/W2020547911","https://openalex.org/W2030629635","https://openalex.org/W2042255844","https://openalex.org/W2067869061","https://openalex.org/W2069959554","https://openalex.org/W2071821878","https://openalex.org/W2071949631","https://openalex.org/W2084043065","https://openalex.org/W2088657558","https://openalex.org/W2103972604","https://openalex.org/W2107799335","https://openalex.org/W2108119513","https://openalex.org/W2109531142","https://openalex.org/W2116216716","https://openalex.org/W2121058967","https://openalex.org/W2123031198","https://openalex.org/W2124834959","https://openalex.org/W2125298866","https://openalex.org/W2129812935","https://openalex.org/W2132555912","https://openalex.org/W2132914434","https://openalex.org/W2138038253","https://openalex.org/W2139738865","https://openalex.org/W2143277109","https://openalex.org/W2144348684","https://openalex.org/W2145152441","https://openalex.org/W2148232185","https://openalex.org/W2150566919","https://openalex.org/W2150990614","https://openalex.org/W2151599207","https://openalex.org/W2155359044","https://openalex.org/W2156932943","https://openalex.org/W2165835468","https://openalex.org/W2168614937","https://openalex.org/W2171500336","https://openalex.org/W2271263562","https://openalex.org/W2288723698","https://openalex.org/W2313932751","https://openalex.org/W2330541013","https://openalex.org/W2331181944","https://openalex.org/W2334944609","https://openalex.org/W2340318445","https://openalex.org/W2366739890","https://openalex.org/W2482912082","https://openalex.org/W2530006000","https://openalex.org/W2546441727","https://openalex.org/W2554683605","https://openalex.org/W2555332322","https://openalex.org/W2558098092","https://openalex.org/W2574404198","https://openalex.org/W2604977491","https://openalex.org/W2605006852","https://openalex.org/W2605078373","https://openalex.org/W2606100861","https://openalex.org/W2745679387","https://openalex.org/W2747189523","https://openalex.org/W2772147349","https://openalex.org/W2789249105","https://openalex.org/W2793357412","https://openalex.org/W2804265860","https://openalex.org/W2807812148","https://openalex.org/W2885850997","https://openalex.org/W2907943085","https://openalex.org/W3014771378","https://openalex.org/W3106359998","https://openalex.org/W3122534566","https://openalex.org/W3150214740","https://openalex.org/W6676189307","https://openalex.org/W6702455913"],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990"],"abstract_inverted_index":{"Band":[0],"selection":[1,83,135,210],"is":[2,100,115,155,179],"an":[3,170],"effective":[4],"approach":[5],"to":[6,25,44,88,117,157,181],"mitigate":[7],"the":[8,45,49,64,67,73,77,81,92,107,110,119,124,132,138,142,146,159,166,183,187,195,200],"\u201cHughes":[9],"phenomenon\u201d":[10],"of":[11,48,76,186],"hyperspectral":[12],"image":[13],"(HSI)":[14],"classification.":[15],"Recently,":[16],"sparse":[17],"representation":[18,126,167],"(SR)":[19],"theory":[20],"has":[21],"been":[22,34],"successfully":[23],"introduced":[24,116],"HSI":[26,103,133],"band":[27,56,82,104,134,161,176,188,209],"selection,":[28],"and":[29,36,40,129,163,204],"many":[30],"SR-based":[31,68],"methods":[32,69,203],"have":[33],"developed":[35],"shown":[37],"great":[38],"potential":[39],"superiority.":[41],"However,":[42],"due":[43],"inherent":[46],"limitations":[47],"SR":[50],"scheme,":[51],"i.e.,":[52],"individually":[53],"representing":[54],"each":[55],"with":[57,131],"only":[58],"a":[59,206],"few":[60],"other":[61,143,201],"bands":[62],"from":[63],"same":[65],"subspace,":[66],"cannot":[70],"effectively":[71],"capture":[72,118],"global":[74,120],"structures":[75],"data,":[78],"which":[79],"limit":[80],"performance.":[84],"In":[85],"this":[86,90],"paper,":[87],"overcome":[89],"obstacle,":[91],"novel":[93],"Laplacian-regularized":[94],"low-rank":[95,111],"subspace":[96,112],"clustering":[97,113,139],"(LLRSC)":[98],"algorithm":[99,173,198],"proposed":[101,196],"for":[102,123,212],"selection.":[105],"On":[106,141],"one":[108],"hand,":[109,144],"model":[114],"structure":[121],"information":[122,162,178],"learned":[125],"coefficient":[127],"matrix":[128],"deal":[130],"task":[136],"in":[137],"framework.":[140],"considering":[145],"high":[147],"correlation":[148],"between":[149],"adjacent":[150],"bands,":[151],"1-D":[152],"Laplacian":[153],"regularization":[154],"utilized":[156,180],"incorporate":[158],"neighboring":[160],"further":[164],"reduce":[165],"bias.":[168],"Lastly,":[169],"eigenvalue":[171],"analysis":[172],"based":[174],"on":[175],"mutation":[177],"estimate":[182],"appropriate":[184],"size":[185],"subset.":[189],"The":[190],"experimental":[191],"results":[192],"indicate":[193],"that":[194],"LLRSC":[197],"outperforms":[199],"state-of-the-art":[202],"achieves":[205],"very":[207],"competitive":[208],"performance":[211],"HSIs.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}