{"id":"https://openalex.org/W2899812231","doi":"https://doi.org/10.1109/tgrs.2018.2872875","title":"Fully Automatic Spectral\u2013Spatial Fuzzy Clustering Using an Adaptive Multiobjective Memetic Algorithm for Multispectral Imagery","display_name":"Fully Automatic Spectral\u2013Spatial Fuzzy Clustering Using an Adaptive Multiobjective Memetic Algorithm for Multispectral Imagery","publication_year":2018,"publication_date":"2018-11-06","ids":{"openalex":"https://openalex.org/W2899812231","doi":"https://doi.org/10.1109/tgrs.2018.2872875","mag":"2899812231"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2872875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2872875","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/A5101423693","display_name":"Yuting Wan","orcid":"https://orcid.org/0000-0002-4366-809X"},"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":"Yuting Wan","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4366-809X","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"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":"Yanfei Zhong","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030713988","display_name":"Ailong Ma","orcid":"https://orcid.org/0000-0003-3692-6473"},"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":"Ailong Ma","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":2.3012,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90417425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"57","issue":"4","first_page":"2324","last_page":"2340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"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":0.9986000061035156,"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/T10057","display_name":"Face and Expression Recognition","score":0.9653000235557556,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9593999981880188,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7317453622817993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6922731399536133},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6186550855636597},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5516692399978638},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.493659108877182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4916556477546692},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.48740485310554504},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4660319685935974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45114657282829285},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.41511720418930054},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4078353941440582},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4071287512779236},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06715935468673706}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7317453622817993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6922731399536133},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6186550855636597},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5516692399978638},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.493659108877182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4916556477546692},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.48740485310554504},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4660319685935974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45114657282829285},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.41511720418930054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4078353941440582},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4071287512779236},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06715935468673706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2872875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2872875","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/G3909553980","display_name":null,"funder_award_id":"2016CFA029","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G4629252920","display_name":"\u57fa\u4e8e\u7a00\u758f\u6982\u7387\u56fe\u6a21\u578b\u7684\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u5f71\u50cf\u573a\u666f\u8bed\u4e49\u7406\u89e3\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41771385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5092641215","display_name":null,"funder_award_id":"41622107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6466827110","display_name":null,"funder_award_id":"2017M622522","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6858564447","display_name":null,"funder_award_id":"41801267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8603471367","display_name":null,"funder_award_id":"2017YFB0504202","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W18216792","https://openalex.org/W130219816","https://openalex.org/W1506010655","https://openalex.org/W1511091475","https://openalex.org/W1522440472","https://openalex.org/W1537747159","https://openalex.org/W1595498733","https://openalex.org/W1967053981","https://openalex.org/W1968075052","https://openalex.org/W1978567114","https://openalex.org/W1986883641","https://openalex.org/W1990653740","https://openalex.org/W1991576946","https://openalex.org/W1993589337","https://openalex.org/W1996747841","https://openalex.org/W2001298023","https://openalex.org/W2005265175","https://openalex.org/W2006015451","https://openalex.org/W2029023663","https://openalex.org/W2034981919","https://openalex.org/W2046373373","https://openalex.org/W2046803845","https://openalex.org/W2046950687","https://openalex.org/W2047019718","https://openalex.org/W2047357592","https://openalex.org/W2049299219","https://openalex.org/W2050565653","https://openalex.org/W2064737025","https://openalex.org/W2072661909","https://openalex.org/W2080727266","https://openalex.org/W2082077200","https://openalex.org/W2089731186","https://openalex.org/W2096191664","https://openalex.org/W2104274529","https://openalex.org/W2107402227","https://openalex.org/W2108859253","https://openalex.org/W2111811973","https://openalex.org/W2113076747","https://openalex.org/W2115242586","https://openalex.org/W2120223913","https://openalex.org/W2126105956","https://openalex.org/W2131435419","https://openalex.org/W2138810473","https://openalex.org/W2143416511","https://openalex.org/W2148511782","https://openalex.org/W2148791530","https://openalex.org/W2154047522","https://openalex.org/W2154808242","https://openalex.org/W2164800951","https://openalex.org/W2170975407","https://openalex.org/W2302947639","https://openalex.org/W2410437504","https://openalex.org/W2418363783","https://openalex.org/W2731490126","https://openalex.org/W2748437730","https://openalex.org/W2763921100","https://openalex.org/W2765274113","https://openalex.org/W2771635595","https://openalex.org/W2777872058","https://openalex.org/W2790869495","https://openalex.org/W3140662957","https://openalex.org/W6600754543","https://openalex.org/W6605270093"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1995889410","https://openalex.org/W4389779246","https://openalex.org/W1517037119","https://openalex.org/W2125510194"],"abstract_inverted_index":{"Clustering":[0],"of":[1,16,23,55,75,89,99,135],"remote":[2,17,47,148],"sensing":[3,18,48,149],"imagery":[4],"is":[5,52,108,139],"a":[6,31,78],"tough":[7],"task":[8],"due":[9],"to":[10,127],"the":[11,21,72,90,96,105,112,122,129,136,142],"particular":[12],"and":[13,20,63,118],"complex":[14],"structure":[15],"images":[19],"shortage":[22],"known":[24],"information.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29,119],"propose":[30],"fully":[32],"automatic":[33,57,60,65],"spectral-spatial":[34,93],"fuzzy":[35],"clustering":[36,66,94],"method":[37,114,138],"using":[38,95],"an":[39,59,64],"adaptive":[40],"multiobjective":[41],"memetic":[42],"algorithm":[43],"(AMOMA)":[44],"for":[45,92],"multispectral":[46],"imagery.":[49],"This":[50],"approach":[51],"made":[53],"up":[54],"two":[56],"layers:":[58],"determination":[61],"layer":[62,70,85],"layer.":[67],"The":[68,83,101,133],"first":[69],"seeks":[71],"optimal":[73,97,131],"number":[74,98],"clusters":[76],"through":[77,111],"self-adaptive":[79],"differential":[80],"evolution":[81],"algorithm.":[82],"second":[84],"then":[86,109,120],"takes":[87],"advantage":[88],"AMOMA":[91],"clusters.":[100],"knee":[102,123],"point":[103],"from":[104],"Pareto":[106],"front":[107],"selected":[110],"angle-based":[113],"in":[115],"every":[116],"generation,":[117],"compare":[121],"points":[124],"between":[125],"generations":[126],"output":[128],"final":[130],"solution.":[132],"effectiveness":[134],"proposed":[137],"verified":[140],"by":[141],"experimental":[143],"results":[144],"obtained":[145],"with":[146],"three":[147],"data":[150],"sets.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
