{"id":"https://openalex.org/W4319069094","doi":"https://doi.org/10.1109/tgrs.2023.3242364","title":"A Global-to-Local Evolutionary Algorithm for Hyperspectral Endmember Extraction","display_name":"A Global-to-Local Evolutionary Algorithm for Hyperspectral Endmember Extraction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319069094","doi":"https://doi.org/10.1109/tgrs.2023.3242364"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3242364","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2023.3242364","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/A5100602238","display_name":"Fan Cheng","orcid":"https://orcid.org/0000-0003-0175-0818"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Cheng","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0175-0818","affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009004839","display_name":"Naikun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naikun Chen","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058239253","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0002-4788-6860"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4788-6860","affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062171476","display_name":"Qijun Wang","orcid":"https://orcid.org/0000-0003-0427-9697"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijun Wang","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0427-9697","affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0059-8458","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":1.035,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76327527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9757999777793884,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9666000008583069,"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":0.9354153871536255},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.928737998008728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5576491355895996},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.48258697986602783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4518432915210724},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42287677526474},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4157376289367676},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.41449376940727234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3933531641960144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34354904294013977}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9354153871536255},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.928737998008728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5576491355895996},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.48258697986602783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4518432915210724},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42287677526474},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4157376289367676},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.41449376940727234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3933531641960144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34354904294013977},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3242364","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2023.3242364","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/G1587654214","display_name":null,"funder_award_id":"62106002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5110563082","display_name":null,"funder_award_id":"2108085MF193","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G5739591058","display_name":null,"funder_award_id":"62076001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5933665428","display_name":null,"funder_award_id":"2008085QF309","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G6260214469","display_name":null,"funder_award_id":"61874156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6658230062","display_name":null,"funder_award_id":"61976001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6805554313","display_name":null,"funder_award_id":"1908085MF218","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1532651649","https://openalex.org/W1543520236","https://openalex.org/W1576357034","https://openalex.org/W1588375755","https://openalex.org/W1970769764","https://openalex.org/W1976615758","https://openalex.org/W1991460577","https://openalex.org/W2023059235","https://openalex.org/W2025871082","https://openalex.org/W2042564283","https://openalex.org/W2050041778","https://openalex.org/W2070781258","https://openalex.org/W2081555128","https://openalex.org/W2090797242","https://openalex.org/W2097605923","https://openalex.org/W2098098075","https://openalex.org/W2098295833","https://openalex.org/W2102159812","https://openalex.org/W2107120407","https://openalex.org/W2114486983","https://openalex.org/W2116699851","https://openalex.org/W2126105956","https://openalex.org/W2126804077","https://openalex.org/W2128090514","https://openalex.org/W2140216497","https://openalex.org/W2142786738","https://openalex.org/W2143381319","https://openalex.org/W2153885347","https://openalex.org/W2156220628","https://openalex.org/W2156458885","https://openalex.org/W2156787910","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2490975676","https://openalex.org/W2590646629","https://openalex.org/W2620694408","https://openalex.org/W2747781258","https://openalex.org/W2910559764","https://openalex.org/W2911903621","https://openalex.org/W2921805329","https://openalex.org/W2950964158","https://openalex.org/W2954177691","https://openalex.org/W2955112193","https://openalex.org/W2963371848","https://openalex.org/W2993402262","https://openalex.org/W3004515507","https://openalex.org/W3010951932","https://openalex.org/W3037942607","https://openalex.org/W3039625014","https://openalex.org/W3042335128","https://openalex.org/W3048981013","https://openalex.org/W3098609081","https://openalex.org/W3116803055","https://openalex.org/W3117528838","https://openalex.org/W3128132331","https://openalex.org/W3131651877","https://openalex.org/W3135364772","https://openalex.org/W3175177476","https://openalex.org/W4255591625","https://openalex.org/W6634825034","https://openalex.org/W6636658889","https://openalex.org/W6675750237"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2890371384","https://openalex.org/W2315521504","https://openalex.org/W2006559622","https://openalex.org/W2040756827","https://openalex.org/W2051769241","https://openalex.org/W2773863718"],"abstract_inverted_index":{"Recently,":[0],"evolutionary":[1,35],"algorithms":[2,25],"(EAs)":[3],"have":[4],"shown":[5],"their":[6],"promising":[7],"performance":[8],"in":[9,60,84,133],"solving":[10],"the":[11,21,30,43,58,70,80,85,111,123,127,134,146,149,180,193,197,202],"hyperspectral":[12,44,117,186],"endmember":[13,155],"extraction":[14],"(EE)":[15],"task.":[16],"Despite":[17],"that,":[18],"most":[19],"of":[20,29,34,39,116,148],"existing":[22],"EA-based":[23],"EE":[24,45,118,195],"mainly":[26],"take":[27],"advantage":[28],"global":[31,71,87,165],"search":[32,74,88,114,140,168],"capability":[33],"computation.":[36],"A":[37],"few":[38],"them":[40],"focus":[41],"on":[42,184],"task":[46],"itself,":[47],"which":[48,110,143,172],"is":[49,67,75,119,141,160],"a":[50,63,137],"sparse":[51,112],"large-scale":[52,113],"problem":[53],"with":[54,109,192,204],"constraint.":[55],"To":[56],"fill":[57],"gap,":[59],"this":[61],"article,":[62],"global-to-local":[64],"EA":[65],"(GL-EA)":[66],"proposed,":[68],"where":[69],"and":[72,100,122,166],"local":[73,139,167],"performed":[76],"sequentially":[77],"to":[78],"extract":[79,201],"endmembers":[81,124,203],"effectively.":[82],"Specifically,":[83],"first":[86],"stage,":[89,136],"two":[90],"complementary":[91],"solution":[92,98,105,157],"generation":[93,99],"strategies,":[94],"including":[95],"asymmetric":[96],"flip-based":[97],"spectral":[101],"angle":[102],"distance":[103],"(SAD)-based":[104],"repair,":[106],"are":[107],"designed,":[108],"space":[115],"fully":[120],"explored":[121],"that":[125,189],"satisfy":[126],"constraint":[128],"could":[129,200],"be":[130,176],"achieved.":[131],"Then,":[132],"second":[135],"perturbation-based":[138],"suggested,":[142],"further":[144],"enhances":[145],"quality":[147],"obtained":[150],"endmembers.":[151],"In":[152],"addition,":[153],"an":[154],"repetition-based":[156],"selection":[158],"strategy":[159],"also":[161],"developed":[162],"for":[163],"both":[164],"stages,":[169],"by":[170],"using":[171],"good":[173],"solutions":[174],"can":[175],"selected":[177],"effectively":[178],"during":[179],"evolution.":[181],"Experimental":[182],"results":[183],"different":[185],"datasets":[187],"demonstrate":[188],"when":[190],"compared":[191],"state-of-the-art":[194],"algorithms,":[196],"proposed":[198],"GL-EA":[199],"higher":[205],"quality.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
