{"id":"https://openalex.org/W1910604087","doi":"https://doi.org/10.1109/tgrs.2015.2453362","title":"Unsupervised Hyperspectral Band Selection by Dominant Set Extraction","display_name":"Unsupervised Hyperspectral Band Selection by Dominant Set Extraction","publication_year":2015,"publication_date":"2015-07-24","ids":{"openalex":"https://openalex.org/W1910604087","doi":"https://doi.org/10.1109/tgrs.2015.2453362","mag":"1910604087"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2015.2453362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2453362","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/A5071061589","display_name":"Guokang Zhu","orcid":"https://orcid.org/0000-0001-7101-4248"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guokang Zhu","raw_affiliation_strings":["College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090058958","display_name":"Yuancheng Huang","orcid":"https://orcid.org/0000-0003-0882-906X"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuancheng Huang","raw_affiliation_strings":["College of Geomatics, Xi'an University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065496543","display_name":"Jingsheng Lei","orcid":"https://orcid.org/0000-0002-2445-0925"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsheng Lei","raw_affiliation_strings":["College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068537006","display_name":"Zhongqin Bi","orcid":"https://orcid.org/0000-0001-8815-4845"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongqin Bi","raw_affiliation_strings":["College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045082466","display_name":"Feifei Xu","orcid":"https://orcid.org/0000-0001-8044-5912"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Xu","raw_affiliation_strings":["College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071061589"],"corresponding_institution_ids":["https://openalex.org/I23632641"],"apc_list":null,"apc_paid":null,"fwci":12.1995,"has_fulltext":false,"cited_by_count":101,"citation_normalized_percentile":{"value":0.98608131,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"54","issue":"1","first_page":"227","last_page":"239"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9872000217437744,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.969649612903595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7150893211364746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001634001731873},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5513314604759216},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.5414405465126038},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5385621190071106},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49487513303756714},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4454101026058197},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44425299763679504},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43886175751686096},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4370732307434082},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41437017917633057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33635830879211426},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09378606081008911}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.969649612903595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150893211364746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001634001731873},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5513314604759216},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.5414405465126038},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5385621190071106},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49487513303756714},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4454101026058197},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44425299763679504},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43886175751686096},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4370732307434082},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41437017917633057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33635830879211426},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09378606081008911},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2015.2453362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2453362","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":[],"awards":[{"id":"https://openalex.org/G2329321956","display_name":null,"funder_award_id":"61102112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2993598901","display_name":null,"funder_award_id":"13ZR1417500","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G54426868","display_name":null,"funder_award_id":"61472236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G64771235","display_name":null,"funder_award_id":"61403247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8396855732","display_name":null,"funder_award_id":"61272437","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1967275758","https://openalex.org/W1968589019","https://openalex.org/W1972036246","https://openalex.org/W1980335005","https://openalex.org/W1986142393","https://openalex.org/W1993369775","https://openalex.org/W1994682246","https://openalex.org/W2004104348","https://openalex.org/W2017360846","https://openalex.org/W2030876210","https://openalex.org/W2035057253","https://openalex.org/W2039201841","https://openalex.org/W2043848844","https://openalex.org/W2047029347","https://openalex.org/W2052497509","https://openalex.org/W2064886835","https://openalex.org/W2070424424","https://openalex.org/W2071185414","https://openalex.org/W2071821878","https://openalex.org/W2076263407","https://openalex.org/W2078183677","https://openalex.org/W2078491260","https://openalex.org/W2082650415","https://openalex.org/W2085289658","https://openalex.org/W2086658939","https://openalex.org/W2086860003","https://openalex.org/W2099694479","https://openalex.org/W2100921418","https://openalex.org/W2109836508","https://openalex.org/W2114486983","https://openalex.org/W2121789508","https://openalex.org/W2127808402","https://openalex.org/W2127905518","https://openalex.org/W2131609831","https://openalex.org/W2132060017","https://openalex.org/W2132308301","https://openalex.org/W2135758523","https://openalex.org/W2138038253","https://openalex.org/W2139884953","https://openalex.org/W2149134618","https://openalex.org/W2150566919","https://openalex.org/W2157621128","https://openalex.org/W2165755981","https://openalex.org/W2168415319","https://openalex.org/W2169709581","https://openalex.org/W2170432751","https://openalex.org/W2171350553","https://openalex.org/W2294445779","https://openalex.org/W2303501228","https://openalex.org/W3023114228","https://openalex.org/W3122924345","https://openalex.org/W3152330821","https://openalex.org/W6669293054"],"related_works":["https://openalex.org/W1982418987","https://openalex.org/W1978077614","https://openalex.org/W4327563507","https://openalex.org/W2603494857","https://openalex.org/W2024377932","https://openalex.org/W2799746630","https://openalex.org/W4310079726","https://openalex.org/W4390582117","https://openalex.org/W2889956472","https://openalex.org/W3137839769"],"abstract_inverted_index":{"Unsupervised":[0],"hyperspectral":[1,10,82,130],"band":[2,61,83,103,112,138],"selection":[3,84,113],"has":[4,54],"been":[5,46,57],"an":[6,24,116],"important":[7],"topic":[8],"in":[9,37,69,140],"imagery.":[11],"This":[12,77],"technique":[13],"aims":[14],"at":[15],"selecting":[16],"some":[17],"critical":[18],"and":[19,32,63,90,105,107],"decisive":[20],"spectral":[21,40],"bands":[22],"from":[23,86],"original":[25],"image":[26],"for":[27,74,102,115],"compact":[28],"representation":[29],"without":[30],"compromising":[31],"distorting":[33],"the":[34,38,51,80,96,133,136],"raw":[35],"information":[36,53],"relevant":[39],"bands.":[41],"Although":[42],"many":[43],"efforts":[44],"have":[45],"made":[47],"to":[48],"this":[49],"topic,":[50],"structural":[52],"not":[55],"yet":[56],"well":[58],"exploited":[59],"during":[60],"selection,":[62],"there":[64],"are":[65],"still":[66],"several":[67],"deficiencies":[68],"search":[70,119],"strategies,":[71],"leaving":[72],"room":[73],"further":[75],"improvement.":[76],"paper":[78],"tackles":[79],"unsupervised":[81],"problem":[85],"a":[87,92,108],"global":[88],"perspective":[89],"proposes":[91],"novel":[93],"method":[94],"claiming":[95],"following":[97],"main":[98],"contributions:":[99],"structure-aware":[100],"measures":[101],"informativeness":[104],"independence;":[106],"graph":[109],"formulation":[110],"of":[111,122,135],"allowing":[114],"efficient":[117],"integrated":[118],"by":[120],"means":[121],"dominant":[123],"set":[124],"extraction.":[125],"Experiments":[126],"on":[127],"three":[128],"real":[129],"images":[131],"demonstrate":[132],"superiority":[134],"proposed":[137],"selector":[139],"comparison":[141],"with":[142],"benchmark":[143],"methods.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
