{"id":"https://openalex.org/W4292854290","doi":"https://doi.org/10.1109/tcyb.2022.3191121","title":"Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection","display_name":"Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection","publication_year":2022,"publication_date":"2022-08-22","ids":{"openalex":"https://openalex.org/W4292854290","doi":"https://doi.org/10.1109/tcyb.2022.3191121","pmid":"https://pubmed.ncbi.nlm.nih.gov/35994538"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3191121","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"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/A5071759267","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-5838-9846"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"funder","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033240507","display_name":"Chang Tang","orcid":"https://orcid.org/0000-0002-6515-7696"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"funder","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Tang","raw_affiliation_strings":["School of Computer Science and the Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and the Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079321466","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-8947-9067"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"funder","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputing Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputing Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695040","display_name":"Wanqing Li","orcid":"https://orcid.org/0000-0002-4427-2687"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"funder","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wanqing Li","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671239","display_name":"Xinzhong Zhu","orcid":"https://orcid.org/0000-0002-0033-5260"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"funder","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhong Zhu","raw_affiliation_strings":["College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"funder","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhe Wang","raw_affiliation_strings":["School of Computer Science and the Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and the Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015993565","display_name":"Albert Y. Zomaya","orcid":"https://orcid.org/0000-0002-3090-1059"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"funder","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Albert Y. Zomaya","raw_affiliation_strings":["School of Information Technologies, University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.196,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.999815,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"53","issue":"8","first_page":"5250","last_page":"5263"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997,"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":0.9997,"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":0.9939,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9924,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/feature-learning","display_name":"Feature Learning","score":0.68218946},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5162194},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.5066174},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4188794}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7018863},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.68218946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6726073},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.65949166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6239711},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.61526823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5971186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5162194},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5066174},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48267153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4547883},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4188794},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3191121","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35994538","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62076228"},{"funder":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province","award_id":"ZR2021LZH001"},{"funder":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China","award_id":"2020AAA0107100"},{"funder":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":69,"referenced_works":["https://openalex.org/W1902936532","https://openalex.org/W1932531222","https://openalex.org/W1971891445","https://openalex.org/W1977617632","https://openalex.org/W1993022127","https://openalex.org/W2005871861","https://openalex.org/W2028436154","https://openalex.org/W2043945532","https://openalex.org/W2047029347","https://openalex.org/W2057495411","https://openalex.org/W2057802165","https://openalex.org/W2071185414","https://openalex.org/W2135431554","https://openalex.org/W2138583748","https://openalex.org/W2150566919","https://openalex.org/W2150990614","https://openalex.org/W2156932943","https://openalex.org/W2176433868","https://openalex.org/W2514028694","https://openalex.org/W2518815253","https://openalex.org/W2548090596","https://openalex.org/W2559635167","https://openalex.org/W2576298706","https://openalex.org/W2592335735","https://openalex.org/W2597241479","https://openalex.org/W2619570473","https://openalex.org/W2770149144","https://openalex.org/W2774900724","https://openalex.org/W2787204775","https://openalex.org/W2789249105","https://openalex.org/W2793357412","https://openalex.org/W2801324747","https://openalex.org/W2888036598","https://openalex.org/W2890133123","https://openalex.org/W2896193764","https://openalex.org/W2901326905","https://openalex.org/W2906217954","https://openalex.org/W2910462334","https://openalex.org/W2940009787","https://openalex.org/W2946787697","https://openalex.org/W2951897416","https://openalex.org/W2963664109","https://openalex.org/W2972419594","https://openalex.org/W2978620371","https://openalex.org/W2981206386","https://openalex.org/W2996771119","https://openalex.org/W2999232510","https://openalex.org/W3023065102","https://openalex.org/W3039321110","https://openalex.org/W3044063956","https://openalex.org/W3046819794","https://openalex.org/W3091687261","https://openalex.org/W3098551073","https://openalex.org/W3102135311","https://openalex.org/W3104418202","https://openalex.org/W3105100264","https://openalex.org/W3120689699","https://openalex.org/W3120808882","https://openalex.org/W3137665052","https://openalex.org/W3150214740","https://openalex.org/W3160699935","https://openalex.org/W3178695133","https://openalex.org/W3186153394","https://openalex.org/W3192343054","https://openalex.org/W3211275894","https://openalex.org/W4200120532","https://openalex.org/W4223593229","https://openalex.org/W4226000566","https://openalex.org/W4312238451"],"related_works":["https://openalex.org/W4230131218","https://openalex.org/W3209970181","https://openalex.org/W3200375535","https://openalex.org/W3034375524","https://openalex.org/W2404757046","https://openalex.org/W2072166414","https://openalex.org/W2070598848","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440"],"abstract_inverted_index":{"Hyperspectral":[0],"band":[1,19,26,39,173,207],"selection":[2,20],"aims":[3],"to":[4,37,66,89,103,119,146,166,180],"identify":[5],"an":[6],"optimal":[7],"subset":[8,184],"of":[9,50,59,95,152,185,212],"bands":[10],"for":[11,131],"hyperspectral":[12],"images":[13],"(HSIs).":[14],"For":[15,110],"most":[16],"existing":[17],"clustering-based":[18],"methods,":[21],"they":[22,44],"directly":[23],"stretch":[24],"each":[25,111],"into":[27,106],"a":[28,67,74,137,148],"single":[29],"feature":[30,78,150,163],"vector":[31],"and":[32,54,124],"employ":[33],"the":[34,51,57,92,97,114,121,161,172,182,192,201,206],"pixelwise":[35],"features":[36,135,142],"address":[38,71],"redundancy.":[40],"In":[41],"this":[42,213],"way,":[43],"do":[45],"not":[46],"take":[47],"full":[48],"consideration":[49],"spatial":[52,93],"information":[53,94,176],"deal":[55],"with":[56,174],"importance":[58],"different":[60],"regions":[61,108],"in":[62,87,136],"HSIs,":[63,96],"which":[64,171],"leads":[65],"nonoptimal":[68],"selection.":[69,208],"To":[70],"these":[72],"issues,":[73],"region-aware":[75],"hierarchical":[76,138],"latent":[77,134,141],"representation":[79,151,164],"learning-guided":[80],"clustering":[81,157,194],"(HLFC)":[82],"method":[83,195],"is":[84,101,117,129,158,178,215],"proposed.":[85],"Specifically,":[86],"order":[88],"fully":[90],"preserve":[91],"superpixel":[98],"segmentation":[99],"algorithm":[100],"adopted":[102],"segment":[104],"HSIs":[105],"multiple":[107,168],"first.":[109],"segmented":[112],"region,":[113],"similarity":[115],"graph":[116],"constructed":[118],"reflect":[120],"bands-wise":[122],"similarity,":[123],"its":[125],"corresponding":[126],"Laplacian":[127],"matrix":[128,165],"generated":[130],"learning":[132],"low-dimensional":[133],"way.":[139],"All":[140],"are":[143],"then":[144],"fused":[145],"form":[147,181],"unified":[149,162],"HSIs.":[153],"Finally,":[154],"k":[155],"-means":[156],"utilized":[159],"on":[160,205],"generate":[167],"clusters":[169],"from":[170],"maximum":[175],"entropy":[177],"selected":[179],"final":[183],"bands.":[186],"Extensive":[187],"experimental":[188],"results":[189],"demonstrate":[190],"that":[191],"proposed":[193],"can":[196],"achieve":[197],"superior":[198],"performance":[199],"than":[200],"state-of-the-art":[202],"representative":[203],"methods":[204],"The":[209],"demo":[210],"code":[211],"work":[214],"publicly":[216],"available":[217],"at":[218],"https://github.com/WangJun2023/HLFC.":[219]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4292854290","counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3}],"updated_date":"2025-04-19T05:27:43.020386","created_date":"2022-08-24"}