{"id":"https://openalex.org/W3083662577","doi":"https://doi.org/10.1109/cec48606.2020.9185673","title":"Endmember Selection of Hyperspectral Images based on Evolutionary Multitask","display_name":"Endmember Selection of Hyperspectral Images based on Evolutionary Multitask","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3083662577","doi":"https://doi.org/10.1109/cec48606.2020.9185673","mag":"3083662577"},"language":"en","primary_location":{"id":"doi:10.1109/cec48606.2020.9185673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5101837378","display_name":"Yizhe Zhao","orcid":"https://orcid.org/0000-0002-0648-0944"},"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":"Yizhe Zhao","raw_affiliation_strings":["School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi\u2019an, China","School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi'an, 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":["School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi\u2019an, China","School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009576623","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0002-3459-5079"},"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":"Yue Wu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101427060","display_name":"Shanfeng Wang","orcid":"https://orcid.org/0000-0002-2151-6722"},"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":"Shanfeng Wang","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi\u2019an, China","School of Cyber Engineering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","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":["School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi\u2019an, China","School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University, Xi'an, 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":3.7964,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.95118706,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"7"},"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":0.9847999811172485,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9524564743041992},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9169234037399292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6538218259811401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6495833992958069},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5094082951545715},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4884015917778015},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.47785255312919617},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.477789968252182},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4733189046382904},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.44969233870506287},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4447402358055115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37548887729644775}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9524564743041992},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9169234037399292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538218259811401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6495833992958069},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5094082951545715},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4884015917778015},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.47785255312919617},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.477789968252182},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4733189046382904},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.44969233870506287},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4447402358055115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37548887729644775},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec48606.2020.9185673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1506010655","https://openalex.org/W1555549210","https://openalex.org/W1595498733","https://openalex.org/W1755724306","https://openalex.org/W1902027874","https://openalex.org/W1978567114","https://openalex.org/W2027878671","https://openalex.org/W2038420231","https://openalex.org/W2049418899","https://openalex.org/W2069231830","https://openalex.org/W2074734447","https://openalex.org/W2101837437","https://openalex.org/W2109357213","https://openalex.org/W2114475573","https://openalex.org/W2122976738","https://openalex.org/W2125298866","https://openalex.org/W2126105956","https://openalex.org/W2140219630","https://openalex.org/W2143381319","https://openalex.org/W2143416511","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2187602868","https://openalex.org/W2294818690","https://openalex.org/W2295820431","https://openalex.org/W2324828044","https://openalex.org/W2344116562","https://openalex.org/W2410677328","https://openalex.org/W2413527939","https://openalex.org/W2515844138","https://openalex.org/W2566476692","https://openalex.org/W2762814989","https://openalex.org/W3101195009","https://openalex.org/W4233760599","https://openalex.org/W6630399524","https://openalex.org/W6633261909","https://openalex.org/W6645039261","https://openalex.org/W6687060249"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2315521504","https://openalex.org/W2890371384","https://openalex.org/W2773863718","https://openalex.org/W2563324120","https://openalex.org/W2040756827"],"abstract_inverted_index":{"Endmember":[0],"selection":[1,74,84],"of":[2,21,27,85,99,119,134,145,151,162],"hyperspectral":[3,23,86,100,157],"images":[4],"is":[5,89,113],"a":[6,49,66,80,96,103,106,143],"practical":[7],"yet":[8],"difficult":[9],"task":[10],"due":[11],"to":[12,38,69,79,91,115,123],"the":[13,22,117,124,135,152,160,167],"high":[14],"spectral":[15],"resolution":[16,20],"and":[17,76,108,131],"low":[18],"spatial":[19],"cameras.":[24],"The":[25],"paradigm":[26],"multitask":[28],"optimization":[29,56],"has":[30],"been":[31],"investigated":[32],"over":[33],"two":[34],"decades,":[35],"which":[36],"aim":[37],"handle":[39],"multiple":[40,72],"tasks":[41,75,128],"simultaneously.":[42],"To":[43],"address":[44],"these":[45],"issues,":[46],"we":[47,64],"propose":[48],"novel":[50],"multitasking":[51],"framework":[52],"based":[53,59],"on":[54,60,156],"multiobjective":[55],"evolutionary":[57],"algorithm":[58,141],"decomposition":[61],"(MOEA/D).":[62],"Specifically,":[63],"use":[65],"single":[67],"population":[68],"simultaneously":[70],"perform":[71],"subset":[73],"apply":[77],"it":[78],"specific":[81],"scene-the":[82],"endmember":[83],"images.":[87],"It":[88],"natural":[90],"consider":[92],"that":[93],"pixels":[94],"in":[95,165],"homogeneous":[97],"region":[98],"image":[101],"as":[102],"task.":[104],"Then,":[105],"within-task":[107],"between-task":[109],"genetic":[110,120],"transfer":[111],"operator":[112],"constructed":[114],"reinforce":[116],"exchange":[118],"material":[121],"belonging":[122],"same":[125],"or":[126],"different":[127],"for":[129,148],"better":[130,149],"quicker":[132],"search":[133],"decision":[136,150],"space.":[137],"After":[138],"that,":[139],"this":[140],"obtains":[142],"set":[144],"nondominated":[146],"solutions":[147],"active":[153,169],"endmembers.":[154,170],"Experiments":[155],"datasets":[158],"show":[159],"effectiveness":[161],"our":[163],"method":[164],"finding":[166],"real":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
