{"id":"https://openalex.org/W2425416143","doi":"https://doi.org/10.1109/siu.2016.7495769","title":"Building detection with spatial voting and morphology based segmentation","display_name":"Building detection with spatial voting and morphology based segmentation","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2425416143","doi":"https://doi.org/10.1109/siu.2016.7495769","mag":"2425416143"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2016.7495769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application 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/A5032987674","display_name":"Abdullah H. \u00d6zcan","orcid":"https://orcid.org/0000-0002-3381-8381"},"institutions":[{"id":"https://openalex.org/I4210124062","display_name":"T\u00fcbitak National Metrology Institute","ror":"https://ror.org/02zcjdk53","country_code":"TR","type":"facility","lineage":["https://openalex.org/I4210124062"]},{"id":"https://openalex.org/I4210141511","display_name":"TUBITAK BILGEM","ror":"https://ror.org/057kvja37","country_code":"TR","type":"government","lineage":["https://openalex.org/I4210141511"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Abdullah H. \u00d6zcan","raw_affiliation_strings":["T\u00dcB\u0130TAK B\u0130LGEM, T\u00fcrkiye","Ulusal Elektronik ve Kriptoloji Arastirma Enstitusu, Kocaeli, TR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T\u00dcB\u0130TAK B\u0130LGEM, T\u00fcrkiye","institution_ids":["https://openalex.org/I4210141511"]},{"raw_affiliation_string":"Ulusal Elektronik ve Kriptoloji Arastirma Enstitusu, Kocaeli, TR","institution_ids":["https://openalex.org/I4210124062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076303551","display_name":"Cem \u00dcnsalan","orcid":"https://orcid.org/0000-0002-8904-3730"},"institutions":[{"id":"https://openalex.org/I100072489","display_name":"Yeditepe University","ror":"https://ror.org/025mx2575","country_code":"TR","type":"education","lineage":["https://openalex.org/I100072489"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cem \u00dcnsalan","raw_affiliation_strings":["Yeditepe \u00dcniversitesi, T\u00fcrkiye","Yeditepe Universitesi, Istanbul, TR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yeditepe \u00dcniversitesi, T\u00fcrkiye","institution_ids":["https://openalex.org/I100072489"]},{"raw_affiliation_string":"Yeditepe Universitesi, Istanbul, TR","institution_ids":["https://openalex.org/I100072489"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04117171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"429","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/orthophoto","display_name":"Orthophoto","score":0.7769784331321716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6926687359809875},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6913020014762878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6113527417182922},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5729426145553589},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5581336617469788},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.5244027376174927},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4996156692504883},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.494585245847702},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.479109525680542},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47343921661376953},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4646650552749634},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33140432834625244},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2429768145084381},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24164050817489624},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2066936492919922}],"concepts":[{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.7769784331321716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6926687359809875},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6913020014762878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6113527417182922},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5729426145553589},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5581336617469788},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.5244027376174927},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4996156692504883},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.494585245847702},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.479109525680542},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47343921661376953},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4646650552749634},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33140432834625244},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2429768145084381},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24164050817489624},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2066936492919922},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2016.7495769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1574708379","https://openalex.org/W1606584022","https://openalex.org/W1968019867","https://openalex.org/W1974696470","https://openalex.org/W1982570568","https://openalex.org/W2010660720","https://openalex.org/W2010980358","https://openalex.org/W2027781877","https://openalex.org/W2034546021","https://openalex.org/W2035553864","https://openalex.org/W2056769281","https://openalex.org/W2071997121","https://openalex.org/W2091168295","https://openalex.org/W2112188271","https://openalex.org/W2150178004","https://openalex.org/W2158166073","https://openalex.org/W2315540577","https://openalex.org/W2750339080"],"related_works":["https://openalex.org/W1532075541","https://openalex.org/W2368026034","https://openalex.org/W2367777051","https://openalex.org/W3087014565","https://openalex.org/W1657914084","https://openalex.org/W2363964889","https://openalex.org/W257151485","https://openalex.org/W2157723036","https://openalex.org/W1582871225","https://openalex.org/W3081011809"],"abstract_inverted_index":{"Automated":[0],"object":[1],"detection":[2,25],"in":[3],"remotely":[4],"sensed":[5],"data":[6,31],"has":[7],"gained":[8],"wide":[9],"application":[10],"areas":[11],"due":[12],"to":[13,54],"increased":[14],"sensor":[15],"resolution.":[16],"In":[17,36],"this":[18,63,73],"study,":[19],"we":[20],"propose":[21],"a":[22,56,75],"novel":[23],"building":[24,57],"method":[26,79,93],"using":[27],"high":[28],"resolution":[29],"DSM":[30,40,88],"and":[32,43,99],"true":[33],"orthophoto":[34],"image.":[35],"the":[37],"proposed":[38],"method,":[39],"feature":[41],"points":[42,69],"NDVI":[44],"are":[45,49,65,85],"obtained.":[46],"Then,":[47],"they":[48],"used":[50,66],"for":[51,70],"spatial":[52],"voting":[53],"generate":[55],"probability":[58],"map.":[59],"Local":[60],"maxima":[61],"of":[62],"map":[64],"as":[67],"seed":[68],"segmentation.":[71],"For":[72],"purpose,":[74],"morphology":[76],"based":[77],"segmentation":[78],"is":[80],"proposed.":[81],"This":[82],"way,":[83],"buildings":[84],"detected":[86],"from":[87],"data.":[89],"We":[90],"tested":[91],"our":[92],"on":[94],"ISPRS":[95],"semantic":[96],"labeling":[97],"dataset":[98],"obtained":[100],"promising":[101],"results.":[102]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
