{"id":"https://openalex.org/W3179685412","doi":"https://doi.org/10.1109/tcsvt.2021.3095250","title":"Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification","display_name":"Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification","publication_year":2021,"publication_date":"2021-07-07","ids":{"openalex":"https://openalex.org/W3179685412","doi":"https://doi.org/10.1109/tcsvt.2021.3095250","mag":"3179685412"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3095250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3095250","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5100387652","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0003-2159-025X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-2159-025X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013880628","display_name":"Yuheng Jia","orcid":"https://orcid.org/0000-0002-3907-6550"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuheng Jia","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China","Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3907-6550","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-3431-2021","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000546219","display_name":"Qingfu Zhang","orcid":"https://orcid.org/0000-0003-0786-0671"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qingfu Zhang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6127,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.93451693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"32","issue":"4","first_page":"2013","last_page":"2024"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8688262701034546},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7207939624786377},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6698507070541382},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6015259027481079},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5584688186645508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5468896627426147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4864380359649658},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.46956801414489746},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43333151936531067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.422261506319046},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38683831691741943}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8688262701034546},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7207939624786377},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6698507070541382},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6015259027481079},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5584688186645508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5468896627426147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4864380359649658},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.46956801414489746},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43333151936531067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.422261506319046},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38683831691741943},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3095250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3095250","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G7867221944","display_name":"\u9762\u5411\u6c89\u6d78\u5f0f3D\u8fdc\u7a0b\u5448\u73b0\u7684\u52a8\u60013D\u70b9\u4e91\u9ad8\u6548\u538b\u7f29\u4e0e\u81ea\u9002\u5e94\u4f20\u8f93","funder_award_id":"61871342","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1588948804","https://openalex.org/W1991003630","https://openalex.org/W1994040806","https://openalex.org/W1997201895","https://openalex.org/W2012946078","https://openalex.org/W2029213856","https://openalex.org/W2037328426","https://openalex.org/W2082600204","https://openalex.org/W2103972604","https://openalex.org/W2107799335","https://openalex.org/W2145962650","https://openalex.org/W2163886442","https://openalex.org/W2164278908","https://openalex.org/W2324845311","https://openalex.org/W2396298261","https://openalex.org/W2561455088","https://openalex.org/W2579929594","https://openalex.org/W2751810713","https://openalex.org/W2781745664","https://openalex.org/W2784309606","https://openalex.org/W2794812819","https://openalex.org/W2800955846","https://openalex.org/W2802773224","https://openalex.org/W2808776742","https://openalex.org/W2884776009","https://openalex.org/W2889192935","https://openalex.org/W2900435111","https://openalex.org/W2911886290","https://openalex.org/W2919746781","https://openalex.org/W2945316973","https://openalex.org/W2947903533","https://openalex.org/W2980054274","https://openalex.org/W2985358507","https://openalex.org/W3008789903","https://openalex.org/W3008911924","https://openalex.org/W3021387581","https://openalex.org/W3090929676","https://openalex.org/W3091687261","https://openalex.org/W3119959254","https://openalex.org/W4233367343"],"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/W2076134148"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"the":[3,7,45,56,68,77,90,123],"problem":[4,105],"of":[5,10,60,67,73,79,92,126],"recovering":[6],"discriminative":[8],"representation":[9],"a":[11,33],"hyperspectral":[12],"remote":[13],"sensing":[14],"image":[15],"(HRSI),":[16],"which":[17,42],"suffers":[18],"from":[19,89],"spectral":[20,87],"variations,":[21],"to":[22,50,111],"boost":[23],"its":[24],"classification":[25],"accuracy.":[26],"To":[27],"tackle":[28],"this":[29],"challenge,":[30],"we":[31,75],"propose":[32,107],"new":[34],"method,":[35],"namely":[36],"local-global":[37],"balanced":[38],"low-rank":[39],"approximation":[40],"(GLB-LRA),":[41],"can":[43],"increase":[44],"similarity":[46],"between":[47,58],"pixels":[48,59],"belonging":[49],"an":[51,80,102,108],"identical":[52],"category":[53],"while":[54],"promoting":[55],"discriminability":[57],"different":[61],"categories.":[62],"Specifically,":[63],"by":[64],"taking":[65],"advantage":[66],"particular":[69],"structural":[70],"spatial":[71,85],"information":[72],"HRSIs,":[74],"exploit":[76],"low-rankness":[78],"HRSI":[81],"robustly":[82],"in":[83],"both":[84],"and":[86,94,106],"domains":[88],"perspective":[91],"local":[93],"global":[95],"balance.":[96],"We":[97],"mathematically":[98],"formulate":[99],"GLB-LRA":[100],"as":[101],"explicit":[103],"optimization":[104],"iterative":[109],"algorithm":[110],"solve":[112],"it":[113],"efficiently.":[114],"Experimental":[115],"results":[116],"over":[117,129],"three":[118],"commonly-used":[119],"benchmark":[120],"datasets":[121],"demonstrate":[122],"significant":[124],"superiority":[125],"our":[127],"method":[128],"state-of-the-art":[130],"methods.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}