{"id":"https://openalex.org/W2766393433","doi":"https://doi.org/10.1109/whispers.2016.8071771","title":"Fuzzy threshold-based uniform local binary patterns for hyperspectral imagery classification","display_name":"Fuzzy threshold-based uniform local binary patterns for hyperspectral imagery classification","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2766393433","doi":"https://doi.org/10.1109/whispers.2016.8071771","mag":"2766393433"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5035753061","display_name":"Sen Jia","orcid":"https://orcid.org/0000-0001-9742-5037"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Jia","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640960","display_name":"Jie Hu","orcid":"https://orcid.org/0000-0002-5074-5823"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101816456","display_name":"Lin Deng","orcid":"https://orcid.org/0000-0003-0177-7252"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Deng","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019014062","display_name":"Hongjun Su","orcid":"https://orcid.org/0000-0002-8991-8568"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Su","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035753061"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.323,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71137394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","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":0.9988999962806702,"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":0.9988999962806702,"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":0.9799000024795532,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9775999784469604,"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":0.8249090909957886},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6132507920265198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5935142636299133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5864689350128174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5486500859260559},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5248042345046997},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4929771423339844},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4536326825618744},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33719268441200256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26375627517700195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22831255197525024},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15176647901535034},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.07900738716125488}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8249090909957886},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6132507920265198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5935142636299133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5864689350128174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5486500859260559},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5248042345046997},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4929771423339844},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4536326825618744},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33719268441200256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26375627517700195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22831255197525024},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15176647901535034},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.07900738716125488},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2016.8071771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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":11,"referenced_works":["https://openalex.org/W1990464759","https://openalex.org/W1991888246","https://openalex.org/W2039051707","https://openalex.org/W2089575713","https://openalex.org/W2094056275","https://openalex.org/W2152057649","https://openalex.org/W2154823510","https://openalex.org/W2163352848","https://openalex.org/W2548094124","https://openalex.org/W6660218451","https://openalex.org/W6678670503"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W2055219403","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W2791313072","https://openalex.org/W2154188121"],"abstract_inverted_index":{"Local":[0],"binary":[1,17,67],"patterns":[2,18],"(LBP)":[3],"is":[4,42,133,140,144,155],"a":[5,25,62,91],"simple":[6],"and":[7,12,50,107,160],"efficient":[8],"texture":[9,30],"description":[10],"operator,":[11,151],"the":[13,35,56,77,80,86,97,100,117,122,135,148,152,166,172,183,191,194,199],"improved":[14],"\u201cuniform\u201d":[15],"local":[16,66],"(uLBP)":[19],"has":[20,72],"been":[21,73],"proved":[22],"to":[23,34,44,75,82,95,114,158],"be":[24],"powerful":[26],"feature":[27],"expression":[28],"for":[29],"classification.":[31],"However,":[32],"due":[33],"\u201c0\u201d":[36,139],"threshold":[37,150],"operation":[38],"in":[39,116,134],"uLBP,":[40],"it":[41],"sensitive":[43],"gray":[45,83],"variance":[46],"resulting":[47],"from":[48],"noises":[49],"disturbance":[51,161,168],"among":[52,162,169],"classes,":[53],"which":[54],"reduces":[55],"classification":[57,175,180],"performance.":[58],"In":[59],"this":[60],"paper,":[61],"fuzzy":[63,149],"threshold-based":[64],"uniform":[65],"patterns,":[68],"abbreviated":[69],"as":[70,165],"ftuLBP,":[71],"proposed":[74,87,195],"enhance":[76],"robustness":[78],"of":[79,193],"descriptor":[81],"variance.":[84],"Specifically,":[85],"ftuLBP":[88,153,196],"operator":[89],"defines":[90],"slack":[92],"variable":[93],"\u03c3":[94],"allow":[96],"difference":[98],"between":[99],"central":[101],"pixel":[102,109],"g":[103,110,124,129],"<sub":[104,111,125,130],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[105,112,126,131],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</sub>":[106,127],"neighbor":[108],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">c</sub>":[113,132],"vary":[115],"interval":[118,136],"(-\u03c3,":[119,137],"\u03c3).":[120],"If":[121],"result":[123],"-":[128],"\u03c3),":[138],"given.":[141,145],"Otherwise,":[142],"\u201c1\u201d":[143],"Through":[146],"incorporating":[147],"method":[154],"more":[156],"robust":[157],"noise":[159],"classes":[163],"(such":[164],"mutual":[167],"pixels":[170],"on":[171,182],"edge).":[173],"The":[174],"results":[176],"using":[177],"sparse":[178],"representation-based":[179],"(SRC)":[181],"Pavia":[184],"center":[185],"hyperspectral":[186],"data":[187],"set":[188],"have":[189],"demonstrated":[190],"superiority":[192],"algorithm":[197],"over":[198],"uLBP":[200],"method.":[201]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}