{"id":"https://openalex.org/W4407698964","doi":"https://doi.org/10.1061/jccee5.cpeng-6255","title":"A Compact Surface Reconstruction Method for Buildings Based on Convolutional Neural Network Fitting Implicit Representations","display_name":"A Compact Surface Reconstruction Method for Buildings Based on Convolutional Neural Network Fitting Implicit Representations","publication_year":2025,"publication_date":"2025-02-18","ids":{"openalex":"https://openalex.org/W4407698964","doi":"https://doi.org/10.1061/jccee5.cpeng-6255"},"language":"en","primary_location":{"id":"doi:10.1061/jccee5.cpeng-6255","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6255","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-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/A5054969156","display_name":"Xijiang Chen","orcid":"https://orcid.org/0000-0002-2753-2854"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xijiang Chen","raw_affiliation_strings":["Wuhan Univ. of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Univ. of Technology","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101581909","display_name":"Cheng Yuan","orcid":"https://orcid.org/0009-0002-0692-2850"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Cheng","raw_affiliation_strings":["Wuhan Univ. of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Univ. of Technology","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101030013","display_name":"Xianquan Han","orcid":"https://orcid.org/0000-0003-3923-3939"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianquan Han","raw_affiliation_strings":["Changjiang River Scientific Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changjiang River Scientific Research Institute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632458","display_name":"Bufan Zhao","orcid":"https://orcid.org/0000-0001-9887-4571"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bufan Zhao","raw_affiliation_strings":["Wuhan Univ. of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Univ. of Technology","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004436115","display_name":"Wuyong Tao","orcid":"https://orcid.org/0000-0003-0821-644X"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuyong Tao","raw_affiliation_strings":["Nanchang Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Univ","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091835933","display_name":"Emirhan \u00d6zdemir","orcid":"https://orcid.org/0000-0001-8306-834X"},"institutions":[{"id":"https://openalex.org/I344703621","display_name":"I\u011fd\u0131r \u00dcniversitesi","ror":"https://ror.org/05jstgx72","country_code":"TR","type":"education","lineage":["https://openalex.org/I344703621"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Emirhan Ozdemir","raw_affiliation_strings":["Igdir Univ"],"raw_orcid":"https://orcid.org/0000-0001-8306-834X","affiliations":[{"raw_affiliation_string":"Igdir Univ","institution_ids":["https://openalex.org/I344703621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109775531","display_name":"Dexuan Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexuan Pan","raw_affiliation_strings":["Wuhan Univ. of Technology"],"raw_orcid":"https://orcid.org/0009-0004-3723-3980","affiliations":[{"raw_affiliation_string":"Wuhan Univ. of Technology","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0738,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83714567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"39","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9979000091552734,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.71388840675354},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5789355039596558},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5704077482223511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5214138031005859},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.508051872253418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4465303122997284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3410334289073944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24826020002365112},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.20891624689102173}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.71388840675354},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5789355039596558},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5704077482223511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5214138031005859},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.508051872253418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4465303122997284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3410334289073944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24826020002365112},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.20891624689102173}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/jccee5.cpeng-6255","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6255","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1920022804","https://openalex.org/W2041642242","https://openalex.org/W2085261163","https://openalex.org/W2108402667","https://openalex.org/W2127310338","https://openalex.org/W2130666164","https://openalex.org/W2140965591","https://openalex.org/W2144311066","https://openalex.org/W2152380633","https://openalex.org/W2178629455","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2342277278","https://openalex.org/W2466899106","https://openalex.org/W2492794003","https://openalex.org/W2519823314","https://openalex.org/W2546066744","https://openalex.org/W2559655401","https://openalex.org/W2559882727","https://openalex.org/W2560609797","https://openalex.org/W2560722161","https://openalex.org/W2698857938","https://openalex.org/W2776645264","https://openalex.org/W2798670728","https://openalex.org/W2950316879","https://openalex.org/W2963627347","https://openalex.org/W2963850211","https://openalex.org/W2963926543","https://openalex.org/W2969694596","https://openalex.org/W2990578762","https://openalex.org/W3034395814","https://openalex.org/W3035163517","https://openalex.org/W3092875526","https://openalex.org/W3094208378","https://openalex.org/W3110366555","https://openalex.org/W3120849970","https://openalex.org/W3138313064","https://openalex.org/W4281641688","https://openalex.org/W4306394309","https://openalex.org/W4383570470"],"related_works":["https://openalex.org/W2064026934","https://openalex.org/W2083481614","https://openalex.org/W3095081273","https://openalex.org/W2090665771","https://openalex.org/W2169427544","https://openalex.org/W1984855422","https://openalex.org/W122154308","https://openalex.org/W33542082","https://openalex.org/W2391505850","https://openalex.org/W2384105963"],"abstract_inverted_index":{"Three-dimensional":[0],"building":[1,23,56,160],"models":[2,24,63],"have":[3],"a":[4,30,38,76,87,110,158],"wide":[5],"range":[6],"of":[7,46,71,79,98,113,127],"applications":[8],"in":[9],"smart":[10],"cities,":[11],"urban":[12],"planning,":[13],"and":[14,59,139],"disaster":[15],"assessment.":[16],"However,":[17],"how":[18],"to":[19,50,93,108,115,123,165],"efficiently":[20],"represent":[21],"3D":[22,61],"with":[25,64,142],"fewer":[26,65],"facets":[27],"is":[28,69,81,91,106],"still":[29],"pressing":[31],"problem.":[32],"In":[33,121],"this":[34,130],"paper,":[35],"we":[36],"propose":[37],"method":[39,68,153],"that":[40,150],"can":[41],"extend":[42],"the":[43,95,99,102,117,125,128,151],"application":[44],"scope":[45],"convolutional":[47,88],"occupancy":[48,89,96],"networks":[49],"outdoor":[51],"unmanned":[52],"aerial":[53],"vehicle":[54],"(UAV)":[55],"point":[57,137],"cloud":[58],"reconstruct":[60,157],"architectural":[62],"facets.":[66],"The":[67,146],"comprised":[70],"three":[72],"main":[73],"steps.":[74],"First,":[75],"candidate":[77],"set":[78,112],"cells":[80,114],"constructed":[82],"through":[83],"spatial":[84],"division.":[85],"Second,":[86],"network":[90],"employed":[92],"recognize":[94],"state":[97],"cells.":[100],"Last,":[101],"graph":[103],"cut":[104],"algorithm":[105],"used":[107],"select":[109],"suitable":[111],"form":[116],"final":[118],"surface":[119],"model.":[120],"order":[122],"verify":[124],"effectiveness":[126],"method,":[129],"paper":[131],"reconstructed":[132],"complex":[133],"buildings":[134],"from":[135],"noisy":[136],"clouds":[138],"compared":[140],"them":[141],"several":[143],"reconstruction":[144],"methods.":[145],"experimental":[147],"results":[148],"demonstrate":[149],"proposed":[152],"cannot":[154],"only":[155],"rapidly":[156],"single":[159],"but":[161],"also":[162],"be":[163],"applied":[164],"multibuilding":[166],"complexes.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}