{"id":"https://openalex.org/W2986146753","doi":"https://doi.org/10.1109/igarss.2019.8899241","title":"Primitive-Based 3d Building Modeling, Sensor Simulation, and Estimation","display_name":"Primitive-Based 3d Building Modeling, Sensor Simulation, and Estimation","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2986146753","doi":"https://doi.org/10.1109/igarss.2019.8899241","mag":"2986146753"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8899241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5100445622","display_name":"Xia Li","orcid":"https://orcid.org/0000-0003-3050-8529"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["GE Global Research, Niskayuna, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research, Niskayuna, USA","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078602610","display_name":"Yen-Liang Lin","orcid":"https://orcid.org/0000-0002-5294-077X"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yen-Liang Lin","raw_affiliation_strings":["GE Global Research, Niskayuna, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research, Niskayuna, USA","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049825346","display_name":"James V. Miller","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Miller","raw_affiliation_strings":["GE Global Research, Niskayuna, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research, Niskayuna, USA","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039060355","display_name":"Alex Cheon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Cheon","raw_affiliation_strings":["GE Global Research, Niskayuna, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research, Niskayuna, USA","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102319188","display_name":"Walt Dixon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walt Dixon","raw_affiliation_strings":["GE Global Research, Niskayuna, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research, Niskayuna, USA","institution_ids":["https://openalex.org/I4210134512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210134512"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5148","last_page":"5151"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9988999962806702,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/leverage","display_name":"Leverage (statistics)","score":0.8420940637588501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7368816137313843},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5101823806762695},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5045815706253052},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5030302405357361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48129501938819885},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.4788344204425812},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45865297317504883},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.438618928194046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4289081394672394},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4270011782646179},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42366456985473633},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4189392626285553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4176773428916931},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4113411009311676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36463749408721924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1193779706954956}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8420940637588501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368816137313843},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5101823806762695},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5045815706253052},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5030302405357361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48129501938819885},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.4788344204425812},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45865297317504883},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.438618928194046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4289081394672394},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4270011782646179},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42366456985473633},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4189392626285553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4176773428916931},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4113411009311676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36463749408721924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1193779706954956},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8899241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2000018820","https://openalex.org/W2134236847","https://openalex.org/W2155304077","https://openalex.org/W2557269700","https://openalex.org/W2560609797","https://openalex.org/W2620972937","https://openalex.org/W2963150697","https://openalex.org/W6682741888","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W4383469178","https://openalex.org/W4287186445","https://openalex.org/W3109499659","https://openalex.org/W4382315317","https://openalex.org/W3128438030","https://openalex.org/W2966641257","https://openalex.org/W4399530423","https://openalex.org/W2035870167","https://openalex.org/W2077344030","https://openalex.org/W1994442221"],"abstract_inverted_index":{"As":[0],"we":[1,39,57],"begin":[2],"to":[3,14,26,37,43,71],"consider":[4,15],"modeling":[5,95],"large,":[6],"realistic":[7],"3D":[8,93],"building":[9,60,74,94],"scenes,":[10],"it":[11],"becomes":[12],"necessary":[13],"a":[16,73,76],"more":[17],"compact":[18],"representation":[19],"over":[20],"the":[21,27,48,54,59,89],"polygonal":[22],"mesh":[23],"model.":[24],"Due":[25],"large":[28],"amounts":[29],"of":[30,65,78,91],"annotated":[31],"training":[32],"data,":[33,56],"which":[34],"is":[35],"costly":[36],"obtain,":[38],"leverage":[40],"synthetic":[41,55],"data":[42],"train":[44],"our":[45,92],"system":[46],"for":[47],"satellite":[49,85],"image":[50,86],"domain.":[51],"By":[52],"utilizing":[53],"formulate":[58],"decomposition":[61],"as":[62],"an":[63],"application":[64],"instance":[66],"segmentation":[67],"and":[68],"primitive":[69,79],"fitting":[70],"decompose":[72],"into":[75],"set":[77],"shapes.":[80],"Experimental":[81],"results":[82],"on":[83],"WorldView-3":[84],"dataset":[87],"demonstrate":[88],"effectiveness":[90],"approach.":[96]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
