{"id":"https://openalex.org/W3129109516","doi":"https://doi.org/10.1109/tgrs.2020.3047223","title":"Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification","display_name":"Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification","publication_year":2021,"publication_date":"2021-02-09","ids":{"openalex":"https://openalex.org/W3129109516","doi":"https://doi.org/10.1109/tgrs.2020.3047223","mag":"3129109516"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3047223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3047223","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/A5001501615","display_name":"Haishi Zhao","orcid":"https://orcid.org/0000-0001-5696-8887"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haishi Zhao","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-5696-8887","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6036-459X","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007914848","display_name":"Renchu Guan","orcid":"https://orcid.org/0000-0002-7162-7826"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renchu Guan","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-7162-7826","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058786170","display_name":"Fengfeng Zhou","orcid":"https://orcid.org/0000-0002-8108-6007"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengfeng Zhou","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070310624","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0002-7688-9278"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210164580","display_name":"National Astronomical Observatories","ror":"https://ror.org/058pyyv44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210164580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["College of Earth Sciences, Jilin University, Changchun, China","Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7688-9278","affiliations":[{"raw_affiliation_string":"College of Earth Sciences, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210164580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2356,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.92312996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"59","issue":"11","first_page":"9616","last_page":"9632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9901999831199646,"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/T10057","display_name":"Face and Expression Recognition","score":0.9854999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8867940902709961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6333794593811035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5910592675209045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5800026655197144},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5153014659881592},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49883556365966797},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4314080476760864},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4200739860534668},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.41564035415649414},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3727506697177887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19274601340293884},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11584949493408203}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8867940902709961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6333794593811035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5910592675209045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5800026655197144},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5153014659881592},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49883556365966797},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4314080476760864},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4200739860534668},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.41564035415649414},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3727506697177887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19274601340293884},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11584949493408203}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2020.3047223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3047223","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"},{"id":"pmh:oai:iris.unitn.it:11572/401518","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/9321482/authors#authors","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1974743006","display_name":"\u6c38\u6052\u8bed\u8a00\u5b66\u4e60\u5173\u952e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61572228","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W112296118","https://openalex.org/W1685464609","https://openalex.org/W1761723896","https://openalex.org/W1902936532","https://openalex.org/W1910604087","https://openalex.org/W1932531222","https://openalex.org/W1938929646","https://openalex.org/W1939429412","https://openalex.org/W1973267537","https://openalex.org/W1978149730","https://openalex.org/W1980007140","https://openalex.org/W1982356933","https://openalex.org/W2005871861","https://openalex.org/W2008957755","https://openalex.org/W2021995444","https://openalex.org/W2030629635","https://openalex.org/W2042294722","https://openalex.org/W2042507106","https://openalex.org/W2049444988","https://openalex.org/W2071185414","https://openalex.org/W2078183677","https://openalex.org/W2087263574","https://openalex.org/W2101590145","https://openalex.org/W2104125540","https://openalex.org/W2106777458","https://openalex.org/W2118246710","https://openalex.org/W2123313066","https://openalex.org/W2128971683","https://openalex.org/W2129476886","https://openalex.org/W2135431554","https://openalex.org/W2138583748","https://openalex.org/W2139206670","https://openalex.org/W2150796457","https://openalex.org/W2150990614","https://openalex.org/W2154506590","https://openalex.org/W2155359044","https://openalex.org/W2161943337","https://openalex.org/W2165232124","https://openalex.org/W2165835468","https://openalex.org/W2168481151","https://openalex.org/W2172142075","https://openalex.org/W2250104552","https://openalex.org/W2292865806","https://openalex.org/W2294445779","https://openalex.org/W2343745409","https://openalex.org/W2347198020","https://openalex.org/W2470502497","https://openalex.org/W2508058002","https://openalex.org/W2527802235","https://openalex.org/W2547537331","https://openalex.org/W2548469972","https://openalex.org/W2574404198","https://openalex.org/W2600941572","https://openalex.org/W2605910930","https://openalex.org/W2609615231","https://openalex.org/W2747189523","https://openalex.org/W2782454659","https://openalex.org/W2884104110","https://openalex.org/W2963951026","https://openalex.org/W2998142089","https://openalex.org/W3111627855","https://openalex.org/W3150214740","https://openalex.org/W6637461618","https://openalex.org/W6640464587","https://openalex.org/W6725172435","https://openalex.org/W6991245404"],"related_works":["https://openalex.org/W1975547468","https://openalex.org/W2804627982","https://openalex.org/W2001679188","https://openalex.org/W4205493345","https://openalex.org/W2016342027","https://openalex.org/W2196068029","https://openalex.org/W2310826128","https://openalex.org/W2974328778","https://openalex.org/W2074219825","https://openalex.org/W2888859519"],"abstract_inverted_index":{"Band":[0],"selection":[1],"(BS)":[2],"can":[3],"mitigate":[4],"the":[5,12,26,40,54,63,88,93,117,127,146,151,159,175,181],"&#x201C;curse":[6],"of":[7,14,28,47,65,83,95,129,153,158],"dimensionality&#x201D;":[8],"problem":[9],"and":[10,62,77,135,149,185],"improve":[11],"performance":[13,157],"hyperspectral":[15,29,60],"image":[16],"(HSI)":[17],"classification.":[18],"Genetic":[19],"algorithms":[20],"(GAs)":[21],"have":[22],"been":[23],"applied":[24],"to":[25,53,59,86,144,180],"task":[27],"BS":[30,61,103,163],"showing":[31],"significant":[32],"advantages":[33],"compared":[34],"with":[35,121],"other":[36],"literature":[37],"methods.":[38,189],"However,":[39],"traditional":[41,182],"GAs-based":[42,72],"methods":[43,73],"often":[44,74],"select":[45],"sets":[46],"bands":[48],"having":[49],"residual":[50],"redundancy":[51,152],"due":[52],"large":[55,81],"search":[56,147],"space":[57,148],"related":[58],"limitation":[64],"premature":[66],"convergence":[67],"in":[68],"GAs.":[69],"Moreover,":[70],"existing":[71],"are":[75,142],"supervised,":[76],"that":[78,174],"needs":[79],"a":[80],"number":[82],"labeled":[84],"samples":[85],"compute":[87],"fitness":[89,113],"value":[90],"for":[91,125],"assessing":[92],"quality":[94],"selected":[96,154],"bands.":[97,155],"In":[98],"this":[99],"article,":[100],"an":[101,107],"unsupervised":[102,188],"approach":[104],"based":[105,115],"on":[106,116,167],"improved":[108],"GA":[109],"is":[110,123,165,178],"proposed.":[111],"A":[112],"function":[114],"fisher":[118],"score":[119],"combined":[120],"superpixel":[122],"designed":[124],"evaluating":[126],"discriminability":[128],"band":[130],"subsets":[131],"considering":[132],"both":[133],"spectral":[134],"spatial":[136],"information.":[137],"Then,":[138],"modified":[139],"genetic":[140],"operations":[141],"constructed":[143],"restrain":[145],"reduce":[150],"The":[156,170],"proposed":[160,176],"spectral-spatial":[161],"GA-based":[162,183],"method":[164,177,184],"evaluated":[166],"three":[168],"HSIs.":[169],"experimental":[171],"results":[172],"demonstrate":[173],"superior":[179],"seven":[186],"state-of-the-art":[187]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
