{"id":"https://openalex.org/W2066465169","doi":"https://doi.org/10.1109/igarss.2015.7325796","title":"A new sparsity-aware feature selection method for hyperspectral image clustering","display_name":"A new sparsity-aware feature selection method for hyperspectral image clustering","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2066465169","doi":"https://doi.org/10.1109/igarss.2015.7325796","mag":"2066465169"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7325796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-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/A5035272432","display_name":"Spyridoula D. Xenaki","orcid":"https://orcid.org/0000-0002-1610-0511"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]},{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Spyridoula D. Xenaki","raw_affiliation_strings":["Department of Informatics and Telecommunications, National & Kapodistrian University of Athens, Ilissia, GR, Greece","IAASARS, National Observatory of Athens, Penteli, GR, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics and Telecommunications, National & Kapodistrian University of Athens, Ilissia, GR, Greece","institution_ids":["https://openalex.org/I200777214"]},{"raw_affiliation_string":"IAASARS, National Observatory of Athens, Penteli, GR, Greece","institution_ids":["https://openalex.org/I4210118731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014467125","display_name":"Konstantinos Koutroumbas","orcid":"https://orcid.org/0000-0002-8480-1539"},"institutions":[{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos D. Koutroumbas","raw_affiliation_strings":["IAASARS, National Observatory of Athens, Penteli, GR, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IAASARS, National Observatory of Athens, Penteli, GR, Greece","institution_ids":["https://openalex.org/I4210118731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081131282","display_name":"Athanasios A. Rontogiannis","orcid":"https://orcid.org/0000-0001-6161-4055"},"institutions":[{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athanasios A. Rontogiannis","raw_affiliation_strings":["IAASARS, National Observatory of Athens, Penteli, GR, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IAASARS, National Observatory of Athens, Penteli, GR, Greece","institution_ids":["https://openalex.org/I4210118731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015423141","display_name":"Olga Sykioti","orcid":"https://orcid.org/0000-0003-1301-6450"},"institutions":[{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Olga A. Sykioti","raw_affiliation_strings":["IAASARS, National Observatory of Athens, Penteli, GR, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IAASARS, National Observatory of Athens, Penteli, GR, Greece","institution_ids":["https://openalex.org/I4210118731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2627,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83739285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"445","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9750999808311462,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9745000004768372,"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":0.8624348640441895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.723025381565094},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6845412850379944},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6578954458236694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6444781422615051},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6108080744743347},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5423600673675537},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5242790579795837},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5199324488639832},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42035117745399475},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39585649967193604}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8624348640441895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723025381565094},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6845412850379944},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6578954458236694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6444781422615051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6108080744743347},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5423600673675537},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5242790579795837},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5199324488639832},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42035117745399475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39585649967193604},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7325796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1960394152","https://openalex.org/W2000225629","https://openalex.org/W2015548667","https://openalex.org/W2135046866","https://openalex.org/W2211548590","https://openalex.org/W3195212285"],"related_works":["https://openalex.org/W2018257962","https://openalex.org/W3211035526","https://openalex.org/W4293272463","https://openalex.org/W2972973180","https://openalex.org/W2132581010","https://openalex.org/W2775464024","https://openalex.org/W2909041182","https://openalex.org/W2189927203","https://openalex.org/W2133581097","https://openalex.org/W1995333990"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,33],"new":[4],"feature":[5],"selection":[6,19],"method":[7,20],"suitable":[8],"for":[9],"hyperspectral":[10,74],"image":[11],"clustering":[12,40],"is":[13],"presented.":[14],"The":[15],"proposed":[16,83],"spectral":[17,54],"band":[18],"selects":[21],"bands":[22,55],"that":[23],"exhibit":[24],"significant":[25],"discrimination":[26],"ability,":[27],"based":[28],"on":[29,72],"the":[30,46,64,78,82],"optimization":[31],"of":[32,45,66,81],"sparsity":[34],"promoting":[35],"cost":[36],"function.":[37],"This":[38],"allows":[39,63],"algorithms":[41],"to":[42,50],"export":[43],"results":[44,71],"same":[47],"quality":[48],"compared":[49],"cases":[51],"where":[52],"all":[53],"are":[56],"used,":[57],"while,":[58],"in":[59],"some":[60,67],"cases,":[61],"it":[62],"unravelling":[65],"less-obvious":[68],"patterns.":[69],"Experimental":[70],"real":[73],"data":[75],"sets":[76],"highlight":[77],"enhanced":[79],"performance":[80],"technique.":[84]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
