{"id":"https://openalex.org/W2302716917","doi":"https://doi.org/10.1109/siu.2015.7130003","title":"Unsupervised hyperspectral image segmentation using adaptive bilateral filtering","display_name":"Unsupervised hyperspectral image segmentation using adaptive bilateral filtering","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2302716917","doi":"https://doi.org/10.1109/siu.2015.7130003","mag":"2302716917"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2015.7130003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd 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/A5091849007","display_name":"\u00d6mer \u00d6zdil","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"O. Ozdil","raw_affiliation_strings":["Department of Information and Security Technologies, Havelsan A.S, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Security Technologies, Havelsan A.S, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":null,"display_name":"A. Gunes","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. Gunes","raw_affiliation_strings":["Department of Information and Security Technologies, Havelsan A.S, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Security Technologies, Havelsan A.S, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":0.4209,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71919921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"1010","last_page":"1013"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9930999875068665,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.892592191696167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8115670680999756},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.704399049282074},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6784295439720154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6245822906494141},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6120884418487549},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6009638905525208},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5677746534347534},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.566379725933075},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.5478389859199524},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5302324295043945},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.514805018901825},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5044311285018921},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.48663029074668884},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.43266046047210693},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06317797303199768}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.892592191696167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8115670680999756},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.704399049282074},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6784295439720154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245822906494141},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6120884418487549},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6009638905525208},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5677746534347534},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.566379725933075},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.5478389859199524},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5302324295043945},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.514805018901825},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5044311285018921},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.48663029074668884},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.43266046047210693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06317797303199768}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2015.7130003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd 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":24,"referenced_works":["https://openalex.org/W570986518","https://openalex.org/W1600877088","https://openalex.org/W1964570608","https://openalex.org/W1971176377","https://openalex.org/W1988386267","https://openalex.org/W2014798658","https://openalex.org/W2022093090","https://openalex.org/W2042436931","https://openalex.org/W2060147006","https://openalex.org/W2070240852","https://openalex.org/W2101365302","https://openalex.org/W2109836508","https://openalex.org/W2118996198","https://openalex.org/W2128247256","https://openalex.org/W2156932943","https://openalex.org/W2165820582","https://openalex.org/W2167096957","https://openalex.org/W2169939759","https://openalex.org/W2751318774","https://openalex.org/W3195212285","https://openalex.org/W4206070770","https://openalex.org/W6676711118","https://openalex.org/W6677508755","https://openalex.org/W6991957103"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2364730859","https://openalex.org/W3144569342","https://openalex.org/W2386644571","https://openalex.org/W2551987074","https://openalex.org/W2372421320","https://openalex.org/W2185902295","https://openalex.org/W2531745538","https://openalex.org/W2353364291","https://openalex.org/W2547242578"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"the":[3,10,16,23,42,54,62],"use":[4],"of":[5,12,45,65],"adaptive":[6,33],"bilateral":[7,34],"filter":[8,35],"for":[9],"segmentation":[11,56,63],"hyperspectral":[13],"images.":[14],"First,":[15],"spectral":[17],"bands":[18],"are":[19,50],"selected":[20],"according":[21],"to":[22,40],"information":[24],"contained":[25],"in":[26,38],"each":[27,31,46],"band.":[28],"Then":[29],"on":[30,53],"band,":[32],"is":[36,59,69],"applied":[37],"order":[39],"increase":[41],"spatial":[43],"correlation":[44],"pixel.":[47],"The":[48],"results":[49],"evaluated":[51],"based":[52],"successful":[55],"percentage.":[57],"It":[58],"shown":[60],"that":[61],"accuracy":[64],"k-means":[66],"clustering":[67],"algorithm":[68],"increased.":[70]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
