{"id":"https://openalex.org/W3082533381","doi":"https://doi.org/10.1109/fuzz48607.2020.9177611","title":"A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Explainable Semantic Segmentation of Trees in Satellite Images using HSV Color Space","display_name":"A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Explainable Semantic Segmentation of Trees in Satellite Images using HSV Color Space","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082533381","doi":"https://doi.org/10.1109/fuzz48607.2020.9177611","mag":"3082533381"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5013215163","display_name":"Hugo Leon-Garza","orcid":"https://orcid.org/0000-0002-4450-2999"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hugo Leon-Garza","raw_affiliation_strings":["The Computational Intelligence Centre, University of Essex, Colchester, UK"],"affiliations":[{"raw_affiliation_string":"The Computational Intelligence Centre, University of Essex, Colchester, UK","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041176153","display_name":"Hani Hagras","orcid":"https://orcid.org/0000-0002-2818-5292"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hani Hagras","raw_affiliation_strings":["The Computational Intelligence Centre, University of Essex, Colchester, UK"],"affiliations":[{"raw_affiliation_string":"The Computational Intelligence Centre, University of Essex, Colchester, UK","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088611836","display_name":"Anasol Pe\u00f1a-R\u00edos","orcid":"https://orcid.org/0000-0001-7109-9501"},"institutions":[{"id":"https://openalex.org/I14689143","display_name":"BT Research","ror":"https://ror.org/03308db07","country_code":"GB","type":"facility","lineage":["https://openalex.org/I1332878012","https://openalex.org/I14689143"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anasol Pena-Rios","raw_affiliation_strings":["BT Labs, BT Plc, Ipswich, UK"],"affiliations":[{"raw_affiliation_string":"BT Labs, BT Plc, Ipswich, UK","institution_ids":["https://openalex.org/I14689143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024260804","display_name":"Anthony Conway","orcid":"https://orcid.org/0000-0002-7016-0179"},"institutions":[{"id":"https://openalex.org/I14689143","display_name":"BT Research","ror":"https://ror.org/03308db07","country_code":"GB","type":"facility","lineage":["https://openalex.org/I1332878012","https://openalex.org/I14689143"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anthony Conway","raw_affiliation_strings":["BT Labs, BT Plc, Ipswich, UK"],"affiliations":[{"raw_affiliation_string":"BT Labs, BT Plc, Ipswich, UK","institution_ids":["https://openalex.org/I14689143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112703069","display_name":"Gilbert Owusu","orcid":null},"institutions":[{"id":"https://openalex.org/I14689143","display_name":"BT Research","ror":"https://ror.org/03308db07","country_code":"GB","type":"facility","lineage":["https://openalex.org/I1332878012","https://openalex.org/I14689143"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gilbert Owusu","raw_affiliation_strings":["BT Labs, BT Plc, Ipswich, UK"],"affiliations":[{"raw_affiliation_string":"BT Labs, BT Plc, Ipswich, UK","institution_ids":["https://openalex.org/I14689143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013215163"],"corresponding_institution_ids":["https://openalex.org/I110002522"],"apc_list":null,"apc_paid":null,"fwci":1.5907,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86924434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9904999732971191,"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/T10320","display_name":"Neural Networks and Applications","score":0.9904999732971191,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.987500011920929,"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"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6382369995117188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6041297912597656},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5610482692718506},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4960103929042816},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.4869602620601654},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44727614521980286},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4413049817085266},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4329296946525574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41909271478652954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39755484461784363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6382369995117188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6041297912597656},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5610482692718506},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4960103929042816},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.4869602620601654},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44727614521980286},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4413049817085266},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4329296946525574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41909271478652954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39755484461784363}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W51451126","https://openalex.org/W130194641","https://openalex.org/W564030374","https://openalex.org/W611457968","https://openalex.org/W630119563","https://openalex.org/W938090150","https://openalex.org/W1489625777","https://openalex.org/W1577732711","https://openalex.org/W1849277567","https://openalex.org/W1937812750","https://openalex.org/W1941572331","https://openalex.org/W1984762043","https://openalex.org/W1988675297","https://openalex.org/W1997756370","https://openalex.org/W2048304743","https://openalex.org/W2134890932","https://openalex.org/W2157776581","https://openalex.org/W2211577427","https://openalex.org/W2271611712","https://openalex.org/W2410506558","https://openalex.org/W2480078828","https://openalex.org/W2551751523","https://openalex.org/W2560785110","https://openalex.org/W2607786368","https://openalex.org/W2609402060","https://openalex.org/W2789311837","https://openalex.org/W2804199516","https://openalex.org/W2895144199","https://openalex.org/W2913642042","https://openalex.org/W3102850314","https://openalex.org/W6602110052","https://openalex.org/W6605324685","https://openalex.org/W6620054316","https://openalex.org/W6624477619","https://openalex.org/W6688395528"],"related_works":["https://openalex.org/W4320518079","https://openalex.org/W2039822179","https://openalex.org/W4386771591","https://openalex.org/W2972873516","https://openalex.org/W2074864407","https://openalex.org/W2364223252","https://openalex.org/W1989502759","https://openalex.org/W2405125474","https://openalex.org/W2363908918","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,107],"recent":[1],"years,":[2],"new":[3],"sensor":[4],"technologies":[5],"have":[6],"increased":[7],"the":[8,65,83,86,136,142,163,180,187,198,203],"accessibility":[9],"of":[10,30,67,74,85,128,141,174],"high-resolution":[11],"satellite":[12,131],"images.":[13,132],"The":[14,133,159],"information":[15,33],"in":[16,130,202],"these":[17,36,90],"images":[18,37],"can":[19,38],"help":[20],"to":[21,45,63,116,179],"improve":[22],"activities":[23],"like":[24,57,93],"urban":[25],"planning":[26,69],"and":[27,146],"growth":[28],"analysis":[29],"cities.":[31],"Additionally,":[32],"extracted":[34],"from":[35,183],"be":[39,61],"used":[40],"for":[41,88,104,123,162,197],"taking":[42],"decisions":[43,70],"related":[44],"infrastructure":[46],"planning,":[47],"e.g.":[48],"identifying":[49],"objects":[50],"that":[51],"might":[52],"interfere":[53],"with":[54],"network":[55,68],"assets":[56],"underground":[58],"cables.":[59],"To":[60],"able":[62],"justify":[64],"cost":[66],"a":[71,118],"high":[72],"degree":[73],"interpretability":[75],"is":[76,177,194],"required.":[77],"Convolutional":[78],"Neural":[79],"Networks":[80],"(CNNs)":[81],"are":[82],"state":[84],"art":[87],"segmenting":[89],"images,":[91],"but":[92],"any":[94,102],"black":[95],"box":[96],"model":[97],"they":[98],"do":[99],"not":[100],"offer":[101],"explanation":[103],"their":[105],"output.":[106],"this":[108],"paper,":[109],"we":[110],"present":[111],"an":[112,151,168],"approach":[113],"on":[114],"how":[115],"use":[117],"Fuzzy":[119],"Logic":[120],"System":[121],"(FLS)":[122],"performing":[124],"explainable":[125],"semantic":[126],"segmentation":[127],"trees":[129],"FLS":[134,166,189],"uses":[135],"HSV":[137],"(hue,":[138],"saturation,":[139],"value)":[140],"pixels":[143],"as":[144],"inputs":[145],"was":[147],"optimized":[148],"by":[149],"using":[150],"evolutionary":[152],"algorithm":[153],"called":[154],"Big":[155,157],"Bang":[156],"Crunch.":[158],"best":[160],"configuration":[161],"Interval":[164],"Type-2":[165],"has":[167],"Intersection":[169],"over":[170],"Union":[171],"metric":[172],"measure":[173],"60.6%,":[175],"which":[176,193],"close":[178],"results":[181],"obtained":[182],"neural":[184],"network,":[185],"however":[186],"proposed":[188],"provides":[190],"interpretable":[191],"outputs":[192],"highly":[195],"needed":[196],"real-world":[199],"operation":[200],"especially":[201],"telecommunication":[204],"domain.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}