{"id":"https://openalex.org/W2859056614","doi":"https://doi.org/10.1109/siu.2018.8404282","title":"Kernel extreme learning machines for PolSAR image classification using spatial features","display_name":"Kernel extreme learning machines for PolSAR image classification using spatial features","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2859056614","doi":"https://doi.org/10.1109/siu.2018.8404282","mag":"2859056614"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","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/A5006043364","display_name":"\u00dcnsal G\u00f6kda\u011f","orcid":null},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"\u00dcnsal G\u00f6kda\u011f","raw_affiliation_strings":["Department of Computer Engineering, Yildiz Technical University, 34220 Istanbul"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Yildiz Technical University, 34220 Istanbul","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089194290","display_name":"Mustafa \u00dcst\u00fcner","orcid":"https://orcid.org/0000-0003-0553-2682"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa \u00dcst\u00fcner","raw_affiliation_strings":["Department of Geomatic Engineering, Yildiz Technical University, 34220 Istanbul"],"affiliations":[{"raw_affiliation_string":"Department of Geomatic Engineering, Yildiz Technical University, 34220 Istanbul","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082045666","display_name":"G\u00f6khan Bilgin","orcid":"https://orcid.org/0000-0002-5532-477X"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"G\u00f6khan Bilgin","raw_affiliation_strings":["Department of Computer Engineering, Yildiz Technical University, 34220 Istanbul"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Yildiz Technical University, 34220 Istanbul","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020499065","display_name":"F\u00fcsun Bal\u0131k \u015eanl\u0131","orcid":"https://orcid.org/0000-0003-1243-8299"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"F\u00fcsun Bal\u0131k \u015eanl\u0131","raw_affiliation_strings":["Department of Geomatic Engineering, Yildiz Technical University, 34220 Istanbul"],"affiliations":[{"raw_affiliation_string":"Department of Geomatic Engineering, Yildiz Technical University, 34220 Istanbul","institution_ids":["https://openalex.org/I4101805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006043364"],"corresponding_institution_ids":["https://openalex.org/I4101805"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57718242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9930999875068665,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.6912559866905212},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6300522685050964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5914433002471924},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5750043392181396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5631787776947021},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.544475257396698},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5317897796630859},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5033478140830994},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.4899725019931793},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44939571619033813},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24748677015304565},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18784484267234802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15204021334648132},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14861401915550232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912559866905212},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6300522685050964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5914433002471924},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5750043392181396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5631787776947021},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.544475257396698},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5317897796630859},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5033478140830994},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.4899725019931793},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44939571619033813},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24748677015304565},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18784484267234802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15204021334648132},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14861401915550232},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2018.8404282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-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/W1996061706","https://openalex.org/W2005177742","https://openalex.org/W2017212187","https://openalex.org/W2043665634","https://openalex.org/W2079299474","https://openalex.org/W2089564362","https://openalex.org/W2097419478","https://openalex.org/W2101674911","https://openalex.org/W2108597246","https://openalex.org/W2111072639","https://openalex.org/W2112803241","https://openalex.org/W2122040390","https://openalex.org/W2134603844","https://openalex.org/W2141695047","https://openalex.org/W2336496425","https://openalex.org/W2498158252","https://openalex.org/W2603834682","https://openalex.org/W2625376761","https://openalex.org/W2772082715"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2556335056","https://openalex.org/W2002678693","https://openalex.org/W1584764049","https://openalex.org/W2743832667","https://openalex.org/W4386889652"],"abstract_inverted_index":{"In":[0,78],"this":[1,79],"study,":[2,80],"the":[3,11,27,37,43,107],"impacts":[4],"of":[5,14,29,116],"polarimetrie":[6,16],"and":[7,32,39,59,64,84,118],"spatial":[8,69,90,119],"features":[9,82,120],"on":[10],"classification":[12,108,123],"accuracy":[13,109,124],"full":[15],"SAR":[17],"(PolSAR)":[18],"RADARSAT-2":[19],"data":[20,50,56,101],"was":[21,98,125],"investigated.":[22],"Since":[23],"PolSAR":[24,55],"systems":[25],"have":[26],"advantage":[28],"providing":[30],"day-and-night":[31],"weather-independent":[33],"images":[34],"could":[35],"provide":[36],"geo/bio-physical":[38],"structural":[40],"information":[41,73],"about":[42],"target":[44],"objects":[45],"hence":[46],"are":[47],"an":[48],"important":[49],"source":[51],"for":[52,100],"remote":[53],"sensing.":[54],"includes":[57],"geophysical(roughness":[58],"moisture),":[60],"geometric(rotation,":[61],"shape,":[62],"size)":[63],"polarimetric":[65,117],"as":[66,68,71,127],"well":[67],"information,":[70],"these":[72],"can":[74],"be":[75],"considered":[76],"complementary.":[77],"morphological":[81],"(opening":[83],"closing)":[85],"were":[86],"implemented":[87],"to":[88],"extract":[89],"features.":[91],"Kernel":[92],"based":[93],"extreme":[94],"learning":[95],"machines":[96],"(kELM)":[97],"used":[99],"classification.":[102],"Our":[103],"results":[104],"demonstrated":[105],"that":[106],"is":[110],"increased":[111],"by":[112],"9.2%":[113],"via":[114],"inclusion":[115],"with":[121],"highest":[122],"obtained":[126],"82.61%.":[128]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}