{"id":"https://openalex.org/W2021494192","doi":"https://doi.org/10.1145/1823854.1823873","title":"Synthesizing high fidelity 3D landscapes from GIS data","display_name":"Synthesizing high fidelity 3D landscapes from GIS data","publication_year":2010,"publication_date":"2010-06-21","ids":{"openalex":"https://openalex.org/W2021494192","doi":"https://doi.org/10.1145/1823854.1823873","mag":"2021494192"},"language":"en","primary_location":{"id":"doi:10.1145/1823854.1823873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1823854.1823873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research &amp; Application","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/A5037717073","display_name":"Pedro Maroun Eid","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pedro Maroun Eid","raw_affiliation_strings":["Concordia University, Montreal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047013969","display_name":"Sudhir P. Mudur","orcid":"https://orcid.org/0000-0003-4837-0118"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sudhir Mudur","raw_affiliation_strings":["Concordia University, Montreal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.3201,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45700596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.7615416049957275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7594195604324341},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5698617696762085},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5344609022140503},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.4416676163673401},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.43078985810279846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4235951900482178},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3304134011268616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27164512872695923},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2609110176563263},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12348756194114685}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.7615416049957275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7594195604324341},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5698617696762085},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5344609022140503},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.4416676163673401},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.43078985810279846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4235951900482178},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3304134011268616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27164512872695923},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2609110176563263},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12348756194114685},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1823854.1823873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1823854.1823873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research &amp; Application","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W8573516","https://openalex.org/W175755846","https://openalex.org/W1520191953","https://openalex.org/W1601541023","https://openalex.org/W2092556275","https://openalex.org/W2146831006","https://openalex.org/W2408574912","https://openalex.org/W6636170870"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W4283374591","https://openalex.org/W2910751785","https://openalex.org/W4390100400","https://openalex.org/W4362512700","https://openalex.org/W4366547507","https://openalex.org/W2074396925"],"abstract_inverted_index":{"Military,":[0],"simulation":[1],"and":[2,59,76,120,148,173,183,216],"gaming":[3],"applications":[4,16],"are":[5,43,66,82],"increasingly":[6],"using":[7],"digitally":[8],"synthesized":[9],"visuals":[10],"of":[11,23,100,115],"real":[12],"world":[13],"landscapes.":[14,105],"Such":[15],"require":[17],"high":[18,102],"fidelity":[19,103],"digital":[20],"3D":[21,80,104,196],"representations":[22],"landscapes":[24],"to":[25,176,180],"be":[26],"generated":[27],"in":[28,90,166],"low":[29],"turn-around":[30],"time":[31],"after":[32],"acquiring":[33],"the":[34,48,63,78,87,98,145,177,203],"necessary":[35],"initial":[36,49,109],"data.":[37,61],"Geospatial":[38],"or":[39,155],"GIS":[40,178],"databases,":[41],"which":[42],"a":[44,92,133,150],"primary":[45],"resource":[46],"for":[47,191,195],"data":[50,70,112,146,179,207,215,220],"include":[51],"three":[52],"main":[53],"components,":[54],"namely,":[55],"elevation":[56],"data,":[57],"imagery":[58],"feature":[60,69],"While,":[62],"first":[64],"two":[65],"easily":[67],"available,":[68],"(also":[71],"known":[72],"as":[73,139],"vector":[74],"data)":[75],"sometimes":[77],"associated":[79],"models":[81],"not.":[83],"This":[84],"paper":[85],"presents":[86],"progress":[88],"achieved":[89],"developing":[91],"semantics":[93],"driven":[94],"system":[95,158],"that":[96],"addresses":[97],"problem":[99],"generating":[101],"For":[106],"instance,":[107],"given":[108],"geographical":[110],"source":[111],"layers":[113,147],"consisting":[114],"elevations,":[116],"road":[117,127],"surface":[118],"features":[119],"imagery,":[121],"many":[122],"techniques":[123],"would":[124,135],"only":[125],"render":[126],"texture":[128],"over":[129],"steep":[130],"terrain.":[131],"Whereas,":[132],"human":[134],"immediately":[136],"distinguish":[137],"this":[138],"improbable":[140],"by":[141,208],"collectively":[142],"looking":[143],"at":[144],"note":[149],"missing":[151],"element,":[152],"an":[153],"overpass":[154],"tunnel.":[156],"Our":[157],"uses":[159],"deductive":[160],"reasoning,":[161],"through":[162],"Description":[163],"Logic":[164],"reasoners,":[165],"conjunction":[167],"with":[168,189],"specialized":[169],"perelement":[170],"spatial":[171,186],"tests":[172],"applies":[174],"it":[175],"extract,":[181],"identify":[182],"classify":[184],"individual":[185],"elements":[187],"along":[188],"values":[190],"their":[192],"properties":[193],"needed":[194],"rendering.":[197],"Semantic":[198],"Web":[199],"technology":[200],"inherently":[201],"supports":[202],"analysis":[204],"on":[205],"collective":[206],"separating":[209],"formal":[210],"knowledge":[211],"definition":[212],"from":[213],"actual":[214,218],"abstracting":[217],"instance":[219],"handling.":[221]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
