{"id":"https://openalex.org/W2044860242","doi":"https://doi.org/10.1109/lgrs.2014.2331674","title":"Unsupervised Band Selection by Integrating the Overall Accuracy and Redundancy","display_name":"Unsupervised Band Selection by Integrating the Overall Accuracy and Redundancy","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W2044860242","doi":"https://doi.org/10.1109/lgrs.2014.2331674","mag":"2044860242"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2014.2331674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2331674","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5017172614","display_name":"Chenhong Sui","orcid":"https://orcid.org/0000-0002-2098-7952"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenhong Sui","raw_affiliation_strings":["Department of Electronics and Information Engineering, National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China","Dept. of Electron. & Inf. Eng., HuaZhong Univ. of Sci. & Technol., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., HuaZhong Univ. of Sci. & Technol., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043420125","display_name":"Yan Tian","orcid":"https://orcid.org/0000-0002-3770-0604"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Tian","raw_affiliation_strings":["Department of Electronics and Information Engineering, National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China","Dept. of Electron. & Inf. Eng., HuaZhong Univ. of Sci. & Technol., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., HuaZhong Univ. of Sci. & Technol., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004269762","display_name":"Yiping Xu","orcid":"https://orcid.org/0000-0002-7764-0941"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Xu","raw_affiliation_strings":["Department of Electronics and Information Engineering, National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China","Dept. of Electron. & Inf. Eng., HuaZhong Univ. of Sci. & Technol., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., HuaZhong Univ. of Sci. & Technol., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602724","display_name":"Yong Xie","orcid":"https://orcid.org/0000-0002-7863-7170"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xie","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","Inst. of Remote Sensing & Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Inst. of Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017172614"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":4.79928372,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.95385481,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"1","first_page":"185","last_page":"189"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.983299970626831,"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/redundancy","display_name":"Redundancy (engineering)","score":0.8843222856521606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.739798367023468},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7026615738868713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6808091402053833},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6626943349838257},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5931076407432556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5574474930763245},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4989464282989502},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.42653408646583557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42339587211608887},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41278743743896484},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35374122858047485}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.8843222856521606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739798367023468},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7026615738868713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6808091402053833},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6626943349838257},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5931076407432556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5574474930763245},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4989464282989502},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42653408646583557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42339587211608887},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41278743743896484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35374122858047485},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2014.2331674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2331674","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1989750677","https://openalex.org/W1992813404","https://openalex.org/W2009895135","https://openalex.org/W2015245929","https://openalex.org/W2021995444","https://openalex.org/W2025522544","https://openalex.org/W2047029347","https://openalex.org/W2049633694","https://openalex.org/W2088657558","https://openalex.org/W2099979243","https://openalex.org/W2114906370","https://openalex.org/W2122111042","https://openalex.org/W2123323794","https://openalex.org/W2136554445","https://openalex.org/W2138038253","https://openalex.org/W2150990614","https://openalex.org/W2156932943","https://openalex.org/W2506684654","https://openalex.org/W2542930422","https://openalex.org/W2565377681","https://openalex.org/W2911964244","https://openalex.org/W6678243224","https://openalex.org/W6728794660","https://openalex.org/W6730728620"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2901421464","https://openalex.org/W2292979300","https://openalex.org/W2932657337","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679"],"abstract_inverted_index":{"Band":[0],"selection":[1,26,43],"is":[2,58,89],"of":[3,10,110],"great":[4],"significance":[5],"to":[6,60,77],"alleviate":[7],"the":[8,35,41,51,63,79,94],"curse":[9],"dimensionality":[11],"for":[12,28],"hyperspectral":[13],"(HSI)":[14],"image":[15],"application.":[16],"In":[17,50],"this":[18],"letter,":[19],"we":[20,69],"propose":[21],"a":[22],"novel":[23],"unsupervised":[24,72],"band":[25,42],"method":[27,32,76,103],"HSI":[29],"classification.":[30],"This":[31],"integrates":[33],"both":[34],"overall":[36,64,73,80],"accuracy":[37,65,74,112],"and":[38,66,96,113],"redundancy":[39],"into":[40],"process":[44],"by":[45],"formulating":[46],"an":[47,54,71],"optimization":[48,52],"model.":[49],"problem,":[53],"adaptive":[55],"balance":[56],"parameter":[57],"designed":[59],"trade":[61],"off":[62],"redundancy.":[67,114],"Additionally,":[68],"adopt":[70],"prediction":[75],"obtain":[78],"accuracy;":[81],"thus,":[82],"no":[83],"ground":[84],"truth":[85],"or":[86],"training":[87],"samples":[88],"required.":[90],"Experimental":[91],"results":[92],"on":[93],"ROSIS":[95],"RetigaEx":[97],"data":[98],"sets":[99],"show":[100],"that":[101],"our":[102],"outperforms":[104],"four":[105],"representative":[106],"methods":[107],"in":[108],"terms":[109],"classification":[111]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
