{"id":"https://openalex.org/W2943401122","doi":"https://doi.org/10.3390/rs11091040","title":"Building Extraction from UAV Images Jointly Using 6D-SLIC and Multiscale Siamese Convolutional Networks","display_name":"Building Extraction from UAV Images Jointly Using 6D-SLIC and Multiscale Siamese Convolutional Networks","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2943401122","doi":"https://doi.org/10.3390/rs11091040","mag":"2943401122"},"language":"en","primary_location":{"id":"doi:10.3390/rs11091040","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11091040","pdf_url":"https://www.mdpi.com/2072-4292/11/9/1040/pdf?version=1556705683","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/9/1040/pdf?version=1556705683","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031680851","display_name":"Haiqing He","orcid":"https://orcid.org/0000-0001-9361-0219"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]},{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiqing He","raw_affiliation_strings":["Key Laboratory of Watershed Ecology and Geographical Environment Monitoring, National Administration of Surveying, Mapping and Geoinformation, Nanchang 330013, China","School of Geomatics, East China University of Technology, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Watershed Ecology and Geographical Environment Monitoring, National Administration of Surveying, Mapping and Geoinformation, Nanchang 330013, China","institution_ids":["https://openalex.org/I4210141849"]},{"raw_affiliation_string":"School of Geomatics, East China University of Technology, Nanchang 330013, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075071315","display_name":"Junchao Zhou","orcid":"https://orcid.org/0009-0007-3359-8095"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchao Zhou","raw_affiliation_strings":["School of Geomatics, East China University of Technology, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics, East China University of Technology, Nanchang 330013, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746723","display_name":"Min Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Chen","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101425578","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0003-0299-6529"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["School of Water Resources & Environmental Engineering, East China University of Technology, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Water Resources & Environmental Engineering, East China University of Technology, Nanchang 330013, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108866505","display_name":"Dajun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dajun Li","raw_affiliation_strings":["School of Geomatics, East China University of Technology, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics, East China University of Technology, Nanchang 330013, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078198855","display_name":"Penggen Cheng","orcid":"https://orcid.org/0000-0003-3780-0581"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penggen Cheng","raw_affiliation_strings":["School of Geomatics, East China University of Technology, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics, East China University of Technology, Nanchang 330013, China","institution_ids":["https://openalex.org/I4210119674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5031680851"],"corresponding_institution_ids":["https://openalex.org/I4210119674","https://openalex.org/I4210141849"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.1741,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.85603893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"9","first_page":"1040","last_page":"1040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.845072329044342},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6552658081054688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6211397051811218},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6009032726287842},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4885331392288208},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.476842999458313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4573201537132263},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3966849446296692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.845072329044342},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6552658081054688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6211397051811218},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6009032726287842},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4885331392288208},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.476842999458313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4573201537132263},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3966849446296692},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11091040","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11091040","pdf_url":"https://www.mdpi.com/2072-4292/11/9/1040/pdf?version=1556705683","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ccf7088c07d346e9bbe096c6c87aac6e","is_oa":true,"landing_page_url":"https://doaj.org/article/ccf7088c07d346e9bbe096c6c87aac6e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 9, p 1040 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/9/1040/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11091040","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 9; Pages: 1040","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11091040","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11091040","pdf_url":"https://www.mdpi.com/2072-4292/11/9/1040/pdf?version=1556705683","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2127012759","display_name":null,"funder_award_id":"41861062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3762930110","display_name":null,"funder_award_id":"41401526","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5582911549","display_name":null,"funder_award_id":"41861062, 41401526, and 41861052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8038993318","display_name":null,"funder_award_id":"41861052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943401122.pdf","grobid_xml":"https://content.openalex.org/works/W2943401122.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1652775531","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1938929646","https://openalex.org/W1973724465","https://openalex.org/W1981934656","https://openalex.org/W1990630661","https://openalex.org/W1994938019","https://openalex.org/W2012905702","https://openalex.org/W2013845577","https://openalex.org/W2016053056","https://openalex.org/W2022508996","https://openalex.org/W2026665610","https://openalex.org/W2038771072","https://openalex.org/W2042365185","https://openalex.org/W2051956109","https://openalex.org/W2054091530","https://openalex.org/W2063623478","https://openalex.org/W2066204611","https://openalex.org/W2066916495","https://openalex.org/W2089716607","https://openalex.org/W2089888558","https://openalex.org/W2104525659","https://openalex.org/W2104872621","https://openalex.org/W2114808114","https://openalex.org/W2128866545","https://openalex.org/W2129201358","https://openalex.org/W2133040625","https://openalex.org/W2135431554","https://openalex.org/W2163605009","https://openalex.org/W2166516660","https://openalex.org/W2205809928","https://openalex.org/W2297575004","https://openalex.org/W2300635092","https://openalex.org/W2326674917","https://openalex.org/W2395611524","https://openalex.org/W2410591237","https://openalex.org/W2512695020","https://openalex.org/W2562468796","https://openalex.org/W2569640537","https://openalex.org/W2592849532","https://openalex.org/W2620689612","https://openalex.org/W2623768474","https://openalex.org/W2685970220","https://openalex.org/W2787614951","https://openalex.org/W2791873954","https://openalex.org/W2794187036","https://openalex.org/W2804199516","https://openalex.org/W2885628263","https://openalex.org/W2900094710","https://openalex.org/W2901951431","https://openalex.org/W2914661773","https://openalex.org/W2981849677","https://openalex.org/W6661274067"],"related_works":["https://openalex.org/W1996690921","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278"],"abstract_inverted_index":{"Automatic":[0],"building":[1,25,75,115,119,152,181,270],"extraction":[2,76,271],"using":[3,81],"a":[4,103,131,136,145,160,200],"single":[5],"data":[6],"type,":[7],"either":[8],"2D":[9],"remotely-sensed":[10],"images":[11,62],"or":[12],"light":[13],"detection":[14,117],"and":[15,36,69,90,120,135,150,178,186,216,222,225,245,251,280],"ranging":[16],"3D":[17],"point":[18],"clouds,":[19],"remains":[20],"insufficient":[21],"to":[22,54,142,167,174,191,233,259],"accurately":[23],"delineate":[24],"outlines":[26],"for":[27,74,107,114,171],"automatic":[28],"mapping,":[29],"despite":[30],"active":[31],"research":[32],"in":[33,44,214],"this":[34],"area":[35],"the":[37,45,64,176,183,206,208,235,243,249,255,260],"significant":[38],"progress":[39],"which":[40],"has":[41],"been":[42],"achieved":[43],"past":[46],"decade.":[47],"This":[48],"paper":[49],"presents":[50],"an":[51,82],"effective":[52],"approach":[53],"extracting":[55],"buildings":[56,213],"from":[57,196],"Unmanned":[58],"Aerial":[59],"Vehicle":[60],"(UAV)":[61],"through":[63],"incorporation":[65],"of":[66,180,202,254,277],"superpixel":[67,108,203],"segmentation":[68],"semantic":[70],"recognition.":[71],"A":[72],"framework":[73,257,265],"is":[77,112,165],"constructed":[78],"by":[79,100,229],"jointly":[80],"improved":[83,99],"Simple":[84],"Linear":[85],"Iterative":[86],"Clustering":[87],"(SLIC)":[88],"algorithm":[89,185],"Multiscale":[91],"Siamese":[92],"Convolutional":[93],"Networks":[94],"(MSCNs).":[95],"The":[96,127,238,263],"SLIC":[97],"algorithm,":[98],"additionally":[101],"imposing":[102],"digital":[104],"surface":[105],"model":[106],"segmentation,":[109],"namely":[110],"6D-SLIC,":[111],"suited":[113],"boundary":[116],"under":[118,154],"image":[121],"backgrounds":[122],"with":[123,219],"similar":[124],"radiometric":[125],"signatures.":[126],"proposed":[128,166,236,256,264],"MSCNs,":[129],"including":[130,211],"feature":[132,148],"learning":[133],"network":[134],"binary":[137],"decision":[138],"network,":[139],"are":[140,189,227,231],"used":[141,190],"automatically":[143],"learn":[144],"multiscale":[146],"hierarchical":[147],"representation":[149],"detect":[151],"objects":[153],"various":[155],"complex":[156],"backgrounds.":[157],"In":[158,205],"addition,":[159],"gamma-transform":[161],"green":[162],"leaf":[163],"index":[164],"truncate":[168],"vegetation":[169],"superpixels":[170],"further":[172],"processing":[173],"improve":[175],"robustness":[177],"efficiency":[179],"detection,":[182],"Douglas\u2013Peucker":[184],"iterative":[187],"optimization":[188],"eliminate":[192],"jagged":[193],"details":[194],"generated":[195],"small":[197],"structures":[198],"as":[199],"result":[201],"segmentation.":[204],"experiments,":[207],"UAV":[209],"datasets,":[210],"many":[212],"urban":[215],"rural":[217],"areas":[218],"irregular":[220],"shapes":[221],"different":[223],"heights":[224],"that":[226],"obscured":[228],"trees,":[230],"collected":[232],"evaluate":[234],"method.":[237],"experimental":[239],"results":[240],"based":[241],"on":[242],"qualitative":[244],"quantitative":[246],"measures":[247],"confirm":[248],"effectiveness":[250],"high":[252],"accuracy":[253],"relative":[258],"digitized":[261],"results.":[262],"performs":[266],"better":[267],"than":[268],"state-of-the-art":[269],"methods,":[272],"given":[273],"its":[274],"higher":[275],"values":[276],"recall,":[278],"precision,":[279],"intersection":[281],"over":[282],"Union":[283],"(IoU).":[284]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2019-05-09T00:00:00"}