{"id":"https://openalex.org/W4415950889","doi":"https://doi.org/10.1515/jisys-2025-0041","title":"Genetic algorithm-based dimensionality reduction method for classification of hyperspectral images","display_name":"Genetic algorithm-based dimensionality reduction method for classification of hyperspectral images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415950889","doi":"https://doi.org/10.1515/jisys-2025-0041"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2025-0041","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2025-0041","pdf_url":"https://www.degruyterbrill.com/document/doi/10.1515/jisys-2025-0041/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyterbrill.com/document/doi/10.1515/jisys-2025-0041/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120276612","display_name":"Yucel Demirel","orcid":null},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yucel Demirel","raw_affiliation_strings":["Digital Forensic Engineering, Firat University , Elazig, 23119 , Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Forensic Engineering, Firat University , Elazig, 23119 , Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033942443","display_name":"Orhan Yaman","orcid":"https://orcid.org/0000-0001-9623-2284"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Orhan Yaman","raw_affiliation_strings":["Digital Forensic Engineering, Firat University , Elazig, 23119 , Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Forensic Engineering, Firat University , Elazig, 23119 , Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082965948","display_name":"Mehmet Karak\u00f6se","orcid":"https://orcid.org/0000-0002-3276-3788"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Karak\u00f6se","raw_affiliation_strings":["Computer Engineering, Firat University , Elazig, 23119 , Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering, Firat University , Elazig, 23119 , Turkey","institution_ids":["https://openalex.org/I143396566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143396566"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31373313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"1","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":0.6276999711990356,"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":0.6276999711990356,"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":0.026200000196695328,"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/T10057","display_name":"Face and Expression Recognition","score":0.016899999231100082,"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":0.9427000284194946},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7799999713897705},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7524999976158142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7138000130653381},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5527999997138977},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5382999777793884},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4650000035762787},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44909998774528503}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9427000284194946},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7799999713897705},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7524999976158142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7138000130653381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6480000019073486},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5527999997138977},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.508899986743927},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44909998774528503},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3659999966621399},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3515999913215637},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30469998717308044},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C3019722297","wikidata":"https://www.wikidata.org/wiki/Q4440864","display_name":"High dimensional","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2025-0041","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2025-0041","pdf_url":"https://www.degruyterbrill.com/document/doi/10.1515/jisys-2025-0041/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f5e4966b31c14a4daa3a3f80303a1027","is_oa":true,"landing_page_url":"https://doaj.org/article/f5e4966b31c14a4daa3a3f80303a1027","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Intelligent Systems, Vol 34, Iss 1, Pp 090902-62 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2025-0041","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2025-0041","pdf_url":"https://www.degruyterbrill.com/document/doi/10.1515/jisys-2025-0041/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311015","display_name":"Firat \u00dcniversitesi","ror":"https://ror.org/05teb7b63"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415950889.pdf","grobid_xml":"https://content.openalex.org/works/W4415950889.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W3011603487","https://openalex.org/W3032163196","https://openalex.org/W3048276304","https://openalex.org/W3090326207","https://openalex.org/W3094037336","https://openalex.org/W3119724500","https://openalex.org/W3129109516","https://openalex.org/W3132889287","https://openalex.org/W3185961193","https://openalex.org/W3211275894","https://openalex.org/W3214916067","https://openalex.org/W4281567285","https://openalex.org/W4285304668","https://openalex.org/W4296760991","https://openalex.org/W4308577602","https://openalex.org/W4319303108","https://openalex.org/W4385271683","https://openalex.org/W4388616078","https://openalex.org/W4391317034","https://openalex.org/W4395113384","https://openalex.org/W4400486098","https://openalex.org/W4403215140"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Although":[1],"hyperspectral":[2,53,145],"imaging":[3],"provides":[4],"rich":[5],"information":[6],"owing":[7],"to":[8,41,84,111,123],"its":[9],"high":[10,14],"spectral":[11],"resolution,":[12],"this":[13,27,42],"dimensionality":[15],"causes":[16],"significant":[17,61],"computational":[18],"costs":[19],"and":[20,49,57,65,79,88,113,130],"a":[21,29,39],"decrease":[22],"in":[23,52,114,144],"classification":[24,66,126],"accuracy.":[25],"In":[26,98],"study,":[28],"genetic":[30],"algorithm":[31],"(GA)-based":[32],"size":[33,95,141],"reduction":[34,96,142],"method":[35,143],"is":[36],"proposed":[37,46,74],"as":[38],"solution":[40],"problem.":[43],"With":[44],"the":[45,59,99,103,115],"method,":[47],"unnecessary":[48],"repetitive":[50],"bands":[51,62,106],"data":[54],"were":[55,63],"eliminated,":[56],"only":[58],"most":[60],"selected,":[64],"was":[67,107,119],"performed":[68],"with":[69],"support":[70],"vector":[71],"machines.":[72],"The":[73],"approach":[75],"offers":[76],"higher":[77],"accuracy":[78,127],"lower":[80],"processing":[81],"time":[82],"compared":[83],"principal":[85],"component":[86],"analysis":[87],"minimum":[89],"noise":[90],"fraction,":[91],"which":[92],"are":[93,138],"traditional":[94],"methods.":[97],"Indian":[100],"Pines":[101],"dataset,":[102,117],"number":[104],"of":[105,128],"reduced":[108,120],"from":[109,121],"200":[110],"85,":[112],"KSC":[116],"it":[118],"176":[122],"78,":[124],"ensuring":[125],"91.95\u201393.44%":[129],"95.27\u201395.77%,":[131],"respectively.":[132],"These":[133],"results":[134],"show":[135],"that":[136],"GAs":[137],"an":[139],"effective":[140],"image":[146],"classification.":[147]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-11-06T00:00:00"}