{"id":"https://openalex.org/W4404810602","doi":"https://doi.org/10.1109/jstars.2024.3508823","title":"Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection","display_name":"Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection","publication_year":2024,"publication_date":"2024-11-28","ids":{"openalex":"https://openalex.org/W4404810602","doi":"https://doi.org/10.1109/jstars.2024.3508823"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3508823","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3508823","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2024.3508823","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045905574","display_name":"Shihui Liu","orcid":"https://orcid.org/0000-0002-6697-7899"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihui Liu","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-6697-7899","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077569089","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0002-4865-8026"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bing Xue","raw_affiliation_strings":["Center for Data Science and Artificial Intelligence and the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":"https://orcid.org/0000-0002-4865-8026","affiliations":[{"raw_affiliation_string":"Center for Data Science and Artificial Intelligence and the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405735","display_name":"Meiping Song","orcid":"https://orcid.org/0000-0002-4489-5470"},"institutions":[{"id":"https://openalex.org/I2800517447","display_name":"Guangzhou Academy of Fine Arts","ror":"https://ror.org/044my7157","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800517447"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiping Song","raw_affiliation_strings":["School of Innovation Design, Guangzhou Academy of Fine Arts, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4489-5470","affiliations":[{"raw_affiliation_string":"School of Innovation Design, Guangzhou Academy of Fine Arts, Guangzhou, China","institution_ids":["https://openalex.org/I2800517447"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045675147","display_name":"Haimo Bao","orcid":"https://orcid.org/0000-0001-5706-2155"},"institutions":[{"id":"https://openalex.org/I2800517447","display_name":"Guangzhou Academy of Fine Arts","ror":"https://ror.org/044my7157","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800517447"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haimo Bao","raw_affiliation_strings":["School of Innovation Design, Guangzhou Academy of Fine Arts, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5706-2155","affiliations":[{"raw_affiliation_string":"School of Innovation Design, Guangzhou Academy of Fine Arts, Guangzhou, China","institution_ids":["https://openalex.org/I2800517447"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400258","display_name":"Mengjie Zhang","orcid":"https://orcid.org/0000-0003-4463-9538"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Center for Data Science and Artificial Intelligence and the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":"https://orcid.org/0000-0003-4463-9538","affiliations":[{"raw_affiliation_string":"Center for Data Science and Artificial Intelligence and the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.4548,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59847581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"2813","last_page":"2828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9311000108718872,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9311000108718872,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.8810988664627075},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6430217623710632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6266401410102844},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5511113405227661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5411772727966309},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5240678787231445},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3424852192401886},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11268892884254456}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8810988664627075},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6430217623710632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6266401410102844},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5511113405227661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5411772727966309},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5240678787231445},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3424852192401886},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11268892884254456}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3508823","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3508823","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:86cca326df91496a9bfd57029ebf4a14","is_oa":true,"landing_page_url":"https://doaj.org/article/86cca326df91496a9bfd57029ebf4a14","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 2813-2828 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3508823","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3508823","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1447177257","display_name":null,"funder_award_id":"3132019341","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2845203061","display_name":null,"funder_award_id":"42101350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5288438364","display_name":null,"funder_award_id":"3132022249","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G545681976","display_name":null,"funder_award_id":"61890964","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5800071179","display_name":"\u57fa\u4e8e\u6d4b\u5ea6\u4fdd\u6301\u548c\u4efb\u52a1\u9a71\u52a8\u7684\u975e\u76d1\u7763\u6ce2\u6bb5\u9009\u62e9\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1761723896","https://openalex.org/W1902936532","https://openalex.org/W2072661909","https://openalex.org/W2117502083","https://openalex.org/W2138038253","https://openalex.org/W2142552707","https://openalex.org/W2146950091","https://openalex.org/W2170648502","https://openalex.org/W2292865806","https://openalex.org/W2761339476","https://openalex.org/W2791684669","https://openalex.org/W2791725003","https://openalex.org/W2808682285","https://openalex.org/W2921609772","https://openalex.org/W2948363198","https://openalex.org/W2983587259","https://openalex.org/W3013882333","https://openalex.org/W3023065102","https://openalex.org/W3102135311","https://openalex.org/W3120808882","https://openalex.org/W3126446412","https://openalex.org/W3168407774","https://openalex.org/W4211239879","https://openalex.org/W4220769261","https://openalex.org/W4248253651","https://openalex.org/W4285189165","https://openalex.org/W4285264169","https://openalex.org/W4291138769","https://openalex.org/W4312610008","https://openalex.org/W4312916746","https://openalex.org/W4312992590","https://openalex.org/W4313004766","https://openalex.org/W4319866034","https://openalex.org/W4360584432","https://openalex.org/W4383220521","https://openalex.org/W4385255251","https://openalex.org/W4386025596","https://openalex.org/W4386175343","https://openalex.org/W4388408811","https://openalex.org/W4390097224","https://openalex.org/W4391305849","https://openalex.org/W4391547538","https://openalex.org/W4391559302","https://openalex.org/W4399619898","https://openalex.org/W4400489219","https://openalex.org/W4401328280","https://openalex.org/W4401819987"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"Band":[0],"selection":[1,123],"(BS)":[2],"is":[3,90,125,172,188],"a":[4,117,219],"critical":[5],"topic":[6],"in":[7,63,73,236],"hyperspectral":[8,211],"image":[9],"dimensionality":[10],"reduction,":[11],"focusing":[12],"on":[13,33,69,97,170,209],"identifying":[14],"representative":[15],"bands":[16,26,96,222],"that":[17,48,214],"can":[18],"convey":[19],"the":[20,24,39,54,67,74,78,93,98,114,136,141,146,148,152,155,175,199,204,215],"essential":[21],"information":[22],"of":[23,56,76,82,95,101,143,145,151,157,221],"full":[25],"without":[27],"significant":[28],"loss.":[29],"Recently,":[30],"BS":[31,58,84,163],"based":[32,169],"multiobjective":[34,57,83,120],"optimization":[35,80,121],"(MO)":[36],"has":[37],"become":[38],"predominant":[40],"method.":[41],"However,":[42],"there":[43],"are":[44],"still":[45],"two":[46],"problems":[47],"need":[49],"to":[50,92,127,197],"be":[51],"solved.":[52],"First,":[53],"majority":[55],"methods":[59,235],"predominantly":[60],"optimize":[61],"accuracy":[62],"classification":[64],"tasks,":[65,168],"neglecting":[66],"emphasis":[68],"anomaly":[70,103,166,185,228],"detection.":[71,229],"Second,":[72],"process":[75],"addressing":[77],"combinatorial":[79],"problem":[81],"using":[85],"evolutionary":[86],"algorithms,":[87],"insufficient":[88],"consideration":[89],"given":[91],"impact":[94],"recognition":[99],"capability":[100],"an":[102,161,178],"when":[104],"devising":[105],"solution":[106,202],"strategies":[107],"and":[108,131,154,193,239],"determining":[109],"optimal":[110],"solutions.":[111,206],"To":[112],"handle":[113],"above-mentioned":[115],"problems,":[116],"novel":[118],"anomaly-oriented":[119],"band":[122,180],"(AOMOBS)":[124],"developed":[126],"better":[128],"suppress":[129],"background":[130],"identify":[132],"anomalies.":[133],"Specifically,":[134],"for":[135,165,184,190,194,227],"first":[137],"problem,":[138,177],"by":[139],"calculating":[140],"degree":[142,156],"deviation":[144],"band,":[147,153],"noise":[149],"estimates":[150],"redundancy":[158],"between":[159],"bands,":[160],"unsupervised":[162],"algorithm":[164,216],"detection":[167,186],"MO,":[171],"designed.":[173],"For":[174],"second":[176],"MO":[179],"similarity":[181],"sorting":[182],"strategy":[183],"tasks":[187],"designed":[189],"nondominated":[191],"sorting,":[192],"decision":[195],"makers":[196],"choose":[198],"most":[200],"appropriate":[201],"from":[203],"tradeoff":[205],"Experiments":[207],"conducted":[208],"real":[210],"datasets":[212],"demonstrate":[213],"effectively":[217],"identifies":[218],"subset":[220],"with":[223],"high":[224],"representational":[225],"power":[226],"Moreover,":[230],"AOMOBS":[231],"outperforms":[232],"current":[233],"state-of-the-art":[234],"both":[237],"effectiveness":[238],"robustness.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
