{"id":"https://openalex.org/W2728873169","doi":"https://doi.org/10.1109/siu.2017.7960711","title":"Automatic building detection based on CIE LUV color space using very high resolution pleiades images","display_name":"Automatic building detection based on CIE LUV color space using very high resolution pleiades images","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2728873169","doi":"https://doi.org/10.1109/siu.2017.7960711","mag":"2728873169"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059191893","display_name":"Al\u0131reza Rah\u0131mzadeganasl","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Alireza Rahimzadeganasl","raw_affiliation_strings":["Geomatics Eng. faculty, Istanbul Technical Universiy, Maslak, Istanbul, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geomatics Eng. faculty, Istanbul Technical Universiy, Maslak, Istanbul, TURKEY","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041935848","display_name":"Elif Sertel","orcid":"https://orcid.org/0000-0003-4854-494X"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Elif Sertel","raw_affiliation_strings":["Geomatics Eng. faculty, Istanbul Technical Universiy, Maslak, Istanbul, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geomatics Eng. faculty, Istanbul Technical Universiy, Maslak, Istanbul, TURKEY","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":1.5583,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81151108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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":0.9991000294685364,"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":0.9991000294685364,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pleiades","display_name":"Pleiades","score":0.7897298336029053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7023330926895142},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6900701522827148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685850203037262},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.66786789894104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6356196403503418},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5733875036239624},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5465819239616394},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5450357794761658},{"id":"https://openalex.org/keywords/chromaticity","display_name":"Chromaticity","score":0.5125455856323242},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49856114387512207},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4979572296142578},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4719473719596863},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2525971531867981},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21263474225997925}],"concepts":[{"id":"https://openalex.org/C2780846721","wikidata":"https://www.wikidata.org/wiki/Q13423","display_name":"Pleiades","level":3,"score":0.7897298336029053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7023330926895142},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6900701522827148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685850203037262},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.66786789894104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6356196403503418},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5733875036239624},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5465819239616394},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5450357794761658},{"id":"https://openalex.org/C201780734","wikidata":"https://www.wikidata.org/wiki/Q5069880","display_name":"Chromaticity","level":2,"score":0.5125455856323242},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49856114387512207},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4979572296142578},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4719473719596863},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2525971531867981},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21263474225997925},{"id":"https://openalex.org/C150846664","wikidata":"https://www.wikidata.org/wiki/Q7602306","display_name":"Stars","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2017.7960711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/57808","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/57808","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2023821222","https://openalex.org/W2058436841","https://openalex.org/W2076131212","https://openalex.org/W2092041043","https://openalex.org/W2098596049","https://openalex.org/W2133059825","https://openalex.org/W2294554869","https://openalex.org/W2421256883","https://openalex.org/W2501907080","https://openalex.org/W2517180603","https://openalex.org/W4229858876"],"related_works":["https://openalex.org/W2120646348","https://openalex.org/W2086953077","https://openalex.org/W2043152265","https://openalex.org/W3104132348","https://openalex.org/W1982694430","https://openalex.org/W2103086843","https://openalex.org/W3121771241","https://openalex.org/W1990008064","https://openalex.org/W2783133052","https://openalex.org/W2393394808"],"abstract_inverted_index":{"Building":[0],"detection":[1,60],"from":[2],"high":[3,150],"resolution":[4,151],"images":[5,153,189],"has":[6,144],"become":[7],"one":[8],"of":[9,20,23,61,66,95,101,126,136,164,169],"the":[10,71,114,127,134,137,159,187,193],"important":[11],"research":[12],"topics":[13],"in":[14,47,70,113,124,158],"remote":[15],"sensing":[16],"considering":[17],"that":[18],"determination":[19],"geographic":[21],"location":[22],"buildings":[24,170],"and":[25,45,90,108,198],"their":[26],"geometries":[27],"provide":[28],"very":[29,53,149],"useful":[30],"information":[31,43],"for":[32,58,86],"various":[33],"applications":[34],"such":[35],"as":[36],"change":[37],"detection,":[38],"3D":[39],"city":[40],"models,":[41],"urban":[42],"systems":[44],"practices":[46],"municipalities.":[48],"This":[49],"paper":[50],"proposes":[51],"a":[52],"simple":[54],"but":[55,190,205],"robust":[56],"method":[57,143],"automatic":[59,118],"buildings.":[62],"Our":[63],"approach":[64],"consists":[65],"two":[67],"steps,":[68],"where":[69],"first":[72],"step,":[73,116],"multispectral":[74],"image's":[75],"color":[76,96],"space":[77,82],"is":[78,122,131],"converted":[79],"to":[80,133,148,154,182],"\"LUV\"":[81,139],"(where":[83],"L":[84],"stands":[85],"luminance,":[87],"whereas":[88],"U":[89],"V":[91],"represent":[92,201],"chromaticity":[93],"values":[94,200,204],"images)":[97],"using":[98],"visible":[99],"channels":[100],"Pleiades":[102,152],"satellite":[103],"imagery":[104],"namely":[105],"Red,":[106],"Green":[107],"Blue":[109],"\"RGB\"":[110],"bands.":[111],"Then,":[112],"second":[115],"Otsu's":[117],"gray-level":[119],"thresholding,":[120],"which":[121],"efficient":[123],"allocation":[125],"bimodal":[128],"histogram":[129],"distribution,":[130],"applied":[132,147,181],"components":[135],"new":[138],"image.":[140],"The":[141],"proposed":[142],"been":[145],"successfully":[146],"accurately":[155],"identify":[156],"boundaries":[157,168],"selected":[160,194],"test":[161,188],"regions.":[162],"Results":[163],"this":[165],"study":[166],"indicated":[167],"could":[171],"be":[172],"determined":[173],"80%":[174],"or":[175],"better":[176],"accuracy.":[177],"Accuracy":[178],"analysis":[179],"was":[180],"all":[183],"individual":[184],"pixels":[185],"within":[186],"not":[191,206],"only":[192],"pixels;":[195],"therefore,":[196],"precision":[197],"recall":[199],"almost":[202],"true":[203],"estimation.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
