{"id":"https://openalex.org/W2731490126","doi":"https://doi.org/10.1109/cec.2017.7969352","title":"Memetic algorithm based feature selection for hyperspectral images classification","display_name":"Memetic algorithm based feature selection for hyperspectral images classification","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2731490126","doi":"https://doi.org/10.1109/cec.2017.7969352","mag":"2731490126"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2017.7969352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100432821","display_name":"Mingyang Zhang","orcid":"https://orcid.org/0000-0002-9768-516X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102120330","display_name":"Jingjing Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Ma","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348617","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-6294-6761"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625089","display_name":"Jia Liu","orcid":"https://orcid.org/0000-0002-5999-2361"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shannxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.996999979019165,"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":0.996999979019165,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.934499979019165,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.802712082862854},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7397034764289856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6831222772598267},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.6673426628112793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6498562097549438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6164290308952332},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5608784556388855},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5537704229354858},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5269216895103455},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.5250996351242065},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4572555422782898},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.43572402000427246},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3421863317489624},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.22989076375961304}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.802712082862854},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7397034764289856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6831222772598267},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.6673426628112793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498562097549438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6164290308952332},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5608784556388855},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5537704229354858},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5269216895103455},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.5250996351242065},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4572555422782898},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.43572402000427246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3421863317489624},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.22989076375961304},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/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/cec.2017.7969352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1504710628","https://openalex.org/W1532610010","https://openalex.org/W1556911442","https://openalex.org/W1761723896","https://openalex.org/W1902936532","https://openalex.org/W1968589019","https://openalex.org/W1993022127","https://openalex.org/W2005871861","https://openalex.org/W2043945532","https://openalex.org/W2044860242","https://openalex.org/W2067869061","https://openalex.org/W2078491260","https://openalex.org/W2097900616","https://openalex.org/W2098057602","https://openalex.org/W2131090729","https://openalex.org/W2134774992","https://openalex.org/W2135758523","https://openalex.org/W2141567889","https://openalex.org/W2150566919","https://openalex.org/W2150990614","https://openalex.org/W2151599207","https://openalex.org/W2156932943","https://openalex.org/W2165885026","https://openalex.org/W2250104552","https://openalex.org/W2316226477","https://openalex.org/W4321466059"],"related_works":["https://openalex.org/W3164528651","https://openalex.org/W2042378471","https://openalex.org/W2058380590","https://openalex.org/W2352513827","https://openalex.org/W1566319786","https://openalex.org/W2069321575","https://openalex.org/W2371481268","https://openalex.org/W577421504","https://openalex.org/W2533731304","https://openalex.org/W2626329672"],"abstract_inverted_index":{"Band":[0],"selection":[1,16,19,53],"is":[2,12,20,59,62,78,105],"a":[3,13,50,65,74,101],"crucial":[4,36,85],"preprocessing":[5],"step":[6],"for":[7,55,153],"hyperspectral":[8,56,122],"image":[9,57],"classification,":[10],"which":[11,61,80],"classic":[14],"feature":[15,24,30,33,52,93,151],"method.":[17],"Feature":[18],"designed":[21,67,116],"to":[22,26,39,118],"select":[23],"subsets":[25,152],"represent":[27],"the":[28,71,83,91,119,143],"whole":[29],"space.":[31],"For":[32],"selection,":[34],"two":[35],"issues":[37],"need":[38],"be":[40],"handled:":[41],"preserving":[42],"information":[43,86,89],"and":[44,87,110,149],"redundancy":[45,88],"reducing.":[46],"In":[47,70],"this":[48,97],"paper,":[49],"novel":[51,102],"method":[54,145],"classification":[58],"proposed,":[60],"based":[63],"on":[64,127],"newly":[66,115],"memetic":[68,103],"algorithm.":[69],"proposed":[72,144],"method,":[73],"suitable":[75],"objective":[76,98],"function":[77,99],"designed,":[79],"can":[81,146],"measure":[82],"contained":[84],"in":[90],"selected":[92],"subsets.":[94],"To":[95],"optimize":[96],"efficiently,":[100],"algorithm":[104],"designed.":[106],"The":[107,138],"genetic":[108],"operator":[109],"local":[111],"search":[112],"strategy":[113],"are":[114,125],"according":[117],"characteristic":[120],"of":[121,136],"images.":[123],"Experiments":[124],"implemented":[126],"three":[128],"real":[129],"data":[130],"sets":[131],"compared":[132],"with":[133],"some":[134],"state":[135],"arts.":[137],"experimental":[139],"results":[140],"show":[141],"that":[142],"obtain":[147],"stable":[148],"superior":[150],"classification.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}