{"id":"https://openalex.org/W2832172604","doi":"https://doi.org/10.1109/siu.2018.8404203","title":"Textural feature extraction and ensemble of extreme learning machines for hyperspectral image classification","display_name":"Textural feature extraction and ensemble of extreme learning machines for hyperspectral image classification","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2832172604","doi":"https://doi.org/10.1109/siu.2018.8404203","mag":"2832172604"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404203","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/A5034192245","display_name":"Kadir Guzel","orcid":"https://orcid.org/0000-0002-3664-6810"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kadir Guzel","raw_affiliation_strings":["Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, 34220 İstanbul, Türkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, 34220 İstanbul, Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082045666","display_name":"G\u00f6khan Bilgin","orcid":"https://orcid.org/0000-0002-5532-477X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gokhan Bilgin","raw_affiliation_strings":["Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, 34220 İstanbul, Türkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, 34220 İstanbul, Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034192245"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4114,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67379928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"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":0.9979000091552734,"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/T12676","display_name":"Machine Learning and ELM","score":0.994700014591217,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9316079020500183},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7823708057403564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7355960011482239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.729819655418396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505641341209412},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6104747653007507},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5831915140151978},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5779936909675598},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5231106281280518},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4502064287662506},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4180188477039337},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4165361225605011},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3944651782512665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35030311346054077},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07185390591621399}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9316079020500183},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7823708057403564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7355960011482239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.729819655418396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505641341209412},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6104747653007507},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5831915140151978},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5779936909675598},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5231106281280518},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4502064287662506},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4180188477039337},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4165361225605011},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3944651782512665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35030311346054077},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07185390591621399},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2018.8404203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404203","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1972524915","https://openalex.org/W2017212187","https://openalex.org/W2025328644","https://openalex.org/W2079454091","https://openalex.org/W2109836508","https://openalex.org/W2113599721","https://openalex.org/W2115629999","https://openalex.org/W2115718371","https://openalex.org/W2125517209","https://openalex.org/W2151665594","https://openalex.org/W2152057649","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2301541953","https://openalex.org/W2602516395"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W31566076","https://openalex.org/W2794489335","https://openalex.org/W4297902562","https://openalex.org/W2080437822","https://openalex.org/W2741186499","https://openalex.org/W2804652951"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,10,22,33],"textural":[3,31,49],"information":[4,102],"is":[5,52,105],"very":[6],"important":[7],"in":[8],"classification":[9,57],"hyperspectral":[11,35,60,97],"images.":[12,36],"In":[13],"this":[14,74],"paper,":[15],"we":[16,38],"used":[17],"local":[18],"binary":[19],"patterns,":[20],"histograms":[21],"directional":[23],"gradients":[24],"and":[25,103],"Gabor":[26],"filters":[27],"for":[28],"extract":[29],"the":[30,34,47,56,70],"properties":[32],"Then,":[37],"have":[39,91],"proposed":[40,80],"a":[41],"two-level":[42],"feature":[43],"combination":[44],"method":[45],"on":[46,59,69,94],"obtained":[48],"properties.":[50],"It":[51],"aimed":[53],"to":[54,81],"increase":[55],"results":[58,112],"images":[61,98],"with":[62,99],"using":[63],"radial":[64],"based":[65],"extreme":[66,86],"learning":[67,87],"machine":[68],"fused":[71],"features.":[72],"On":[73],"purpose,":[75],"it":[76,104],"has":[77],"also":[78],"been":[79,92],"combine":[82],"decisions":[83],"made":[84],"by":[85],"machines.":[88],"These":[89],"methods":[90],"applied":[93],"Indian":[95],"Pine":[96],"ground":[100],"truth":[101],"observed":[106],"that":[107],"they":[108],"obtain":[109],"more":[110],"robust":[111],"than":[113],"traditional":[114],"alternative":[115],"methods.":[116]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}