{"id":"https://openalex.org/W3040733254","doi":"https://doi.org/10.3233/jifs-179990","title":"Swarm intelligence algorithm for extracting spatial spectrum features of hyperspectral remote sensing image and decomposing mixed pixels","display_name":"Swarm intelligence algorithm for extracting spatial spectrum features of hyperspectral remote sensing image and decomposing mixed pixels","publication_year":2020,"publication_date":"2020-07-09","ids":{"openalex":"https://openalex.org/W3040733254","doi":"https://doi.org/10.3233/jifs-179990","mag":"3040733254"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179990","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179990","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5020803502","display_name":"Yu Gao","orcid":"https://orcid.org/0000-0002-2135-7872"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Gao","raw_affiliation_strings":["School of Electrical Information, City College of Science and Technology, Chongqing University, Yongchuan, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Information, City College of Science and Technology, Chongqing University, Yongchuan, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yinsong Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinsong Pan","raw_affiliation_strings":["College of Optoelectronic Engineering, Chongqing University, Chongqing, Chongqing, China","School of Electrical Information, City College of Science and Technology, Chongqing University, Yongchuan, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Optoelectronic Engineering, Chongqing University, Chongqing, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"School of Electrical Information, City College of Science and Technology, Chongqing University, Yongchuan, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829389","display_name":"Hong Huang","orcid":"https://orcid.org/0000-0002-7377-3077"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Huang","raw_affiliation_strings":["College of Optoelectronic Engineering, Chongqing University, Chongqing, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Optoelectronic Engineering, Chongqing University, Chongqing, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032994633","display_name":"Ehab R. Mohamed","orcid":"https://orcid.org/0000-0002-9643-6719"},"institutions":[{"id":"https://openalex.org/I192398990","display_name":"Zagazig University","ror":"https://ror.org/053g6we49","country_code":"EG","type":"education","lineage":["https://openalex.org/I192398990"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ehab R. Mohamed","raw_affiliation_strings":["Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt","institution_ids":["https://openalex.org/I192398990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038891250","display_name":"Zahraa M.I. Aly","orcid":null},"institutions":[{"id":"https://openalex.org/I192398990","display_name":"Zagazig University","ror":"https://ror.org/053g6we49","country_code":"EG","type":"education","lineage":["https://openalex.org/I192398990"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Zahraa M.I. Aly","raw_affiliation_strings":["Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt","institution_ids":["https://openalex.org/I192398990"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020803502"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.3782,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67452775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"39","issue":"4","first_page":"5045","last_page":"5055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9986000061035156,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9593999981880188,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9168920516967773},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7748512029647827},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7718716859817505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454259157180786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5786184072494507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5591616630554199},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.5285314917564392},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5009605884552002},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.49244675040245056},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39190539717674255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35091495513916016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34477686882019043},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09862291812896729}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9168920516967773},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7748512029647827},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7718716859817505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454259157180786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5786184072494507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5591616630554199},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.5285314917564392},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5009605884552002},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.49244675040245056},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39190539717674255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35091495513916016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34477686882019043},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09862291812896729}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179990","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179990","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2033849598","https://openalex.org/W2284665791","https://openalex.org/W2312996138","https://openalex.org/W2314785379","https://openalex.org/W2360106782","https://openalex.org/W2512156358","https://openalex.org/W2551662077","https://openalex.org/W2552590602","https://openalex.org/W2553168104","https://openalex.org/W2763820948","https://openalex.org/W2781585953","https://openalex.org/W2793645503","https://openalex.org/W2996208714","https://openalex.org/W3018221416","https://openalex.org/W3022522571","https://openalex.org/W4285719527","https://openalex.org/W4287688361","https://openalex.org/W4313151169","https://openalex.org/W4385290682"],"related_works":["https://openalex.org/W2565015337","https://openalex.org/W2018257962","https://openalex.org/W3211035526","https://openalex.org/W4293272463","https://openalex.org/W2972973180","https://openalex.org/W2775464024","https://openalex.org/W2909041182","https://openalex.org/W2754869408","https://openalex.org/W3016049991","https://openalex.org/W3040733254"],"abstract_inverted_index":{"Hyperspectral":[0],"remote":[1,29,68],"sensing":[2,30,69],"combines":[3],"spectrum,":[4],"ground":[5],"space":[6],"and":[7,25,35,62,86,91,125],"images":[8],"organically":[9],"to":[10,38,52],"provide":[11],"humans":[12],"with":[13],"unprecedented":[14],"rich":[15],"information.":[16],"However,":[17],"a":[18],"prominent":[19],"problem":[20],"faced":[21],"in":[22,139,165],"the":[23,36,54,108,114,117,136,143,151,159],"extraction":[24,61,96,123,129],"identification":[26],"of":[27,48,58,66,116,145,158],"hyperspectral":[28,67],"information":[31],"is":[32,42,51,111,168],"mixed":[33,40,43,63],"pixels,":[34],"method":[37,124],"solve":[39],"pixels":[41],"pixel":[44,64,147],"decomposition.":[45],"The":[46,104,131,155],"purpose":[47],"this":[49,140,166],"paper":[50,72,141,167],"study":[53],"swarm":[55,102,120,152],"intelligence":[56,153],"algorithm":[57,137],"spatial-spectral":[59],"feature":[60,128,163],"decomposition":[65,148],"images.":[70],"This":[71],"first":[73],"introduces":[74],"two":[75,126],"different":[76],"methods":[77,97],"for":[78],"extracting":[79],"spatial":[80,161],"spectrum":[81,162],"features,":[82],"then":[83,92],"studies":[84,93],"linear":[85],"non-linear":[87],"spectral":[88],"hybrid":[89],"models,":[90],"end":[94],"element":[95],"based":[98,112,149],"on":[99,113,150],"quantum":[100,118],"particle":[101,119],"optimization.":[103],"degree":[105],"inversion":[106],"method,":[107],"experimental":[109,132],"part":[110],"accuracy":[115,157],"optimization-based":[121],"end-element":[122],"spatial-spectrum":[127],"methods.":[130],"results":[133],"show":[134],"that":[135],"proposed":[138,164],"improves":[142],"effect":[144],"group":[146],"algorithm.":[154],"classification":[156],"3DLBP":[160],"94.22%.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}