{"id":"https://openalex.org/W4312304566","doi":"https://doi.org/10.1109/igarss46834.2022.9884240","title":"GPU-based Mapping of Thermal Imagery for Generating 3D Occlusion-Aware Point Clouds","display_name":"GPU-based Mapping of Thermal Imagery for Generating 3D Occlusion-Aware Point Clouds","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312304566","doi":"https://doi.org/10.1109/igarss46834.2022.9884240"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884240","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 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/A5101776792","display_name":"Alfonso L\u00f3pez","orcid":"https://orcid.org/0000-0003-1423-9496"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alfonso Lopez","raw_affiliation_strings":["University of Ja&#x00E9;n,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ja&#x00E9;n,Department of Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076324714","display_name":"Juan M. Jurado","orcid":"https://orcid.org/0000-0002-8009-9033"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan M. Jurado","raw_affiliation_strings":["University of Ja&#x00E9;n,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ja&#x00E9;n,Department of Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081443852","display_name":"Carlos J. Og\u00e1yar","orcid":"https://orcid.org/0000-0003-0958-990X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos J. Ogayar","raw_affiliation_strings":["University of Ja&#x00E9;n,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ja&#x00E9;n,Department of Computer Science","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025098926","display_name":"Francisco R. Feito","orcid":"https://orcid.org/0000-0001-8230-6529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francisco R. Feito","raw_affiliation_strings":["University of Ja&#x00E9;n,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ja&#x00E9;n,Department of Computer Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.27330317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1460","last_page":"1463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.998199999332428,"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":0.998199999332428,"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":0.9937000274658203,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7445015907287598},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7249967455863953},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6609934568405151},{"id":"https://openalex.org/keywords/shader","display_name":"Shader","score":0.6352701783180237},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.6222546696662903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.583686113357544},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5728121399879456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.515629231929779},{"id":"https://openalex.org/keywords/opengl","display_name":"OpenGL","score":0.5109209418296814},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4979846477508545},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.3428800404071808},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.17158448696136475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13387632369995117},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.11702319979667664},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09923136234283447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7445015907287598},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7249967455863953},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6609934568405151},{"id":"https://openalex.org/C177681979","wikidata":"https://www.wikidata.org/wiki/Q633182","display_name":"Shader","level":3,"score":0.6352701783180237},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.6222546696662903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.583686113357544},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5728121399879456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.515629231929779},{"id":"https://openalex.org/C2778305236","wikidata":"https://www.wikidata.org/wiki/Q178570","display_name":"OpenGL","level":3,"score":0.5109209418296814},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4979846477508545},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.3428800404071808},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.17158448696136475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13387632369995117},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.11702319979667664},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09923136234283447}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884240","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2410393087","https://openalex.org/W2902244590","https://openalex.org/W2990302602","https://openalex.org/W3005145254","https://openalex.org/W3183236065","https://openalex.org/W3201320409","https://openalex.org/W3210058603"],"related_works":["https://openalex.org/W2624792315","https://openalex.org/W2132794636","https://openalex.org/W2563180316","https://openalex.org/W2993674217","https://openalex.org/W2186249873","https://openalex.org/W2917604478","https://openalex.org/W1998134881","https://openalex.org/W2409467719","https://openalex.org/W2913922966","https://openalex.org/W2045602725"],"abstract_inverted_index":{"This":[0],"work":[1],"describes":[2],"an":[3,32],"efficient":[4],"approach":[5],"for":[6],"generating":[7,77],"large":[8],"3D":[9],"thermal":[10,24,47,79],"point":[11,53,80,105],"clouds":[12,81],"considering":[13],"the":[14,43,52,56],"occlusion":[15],"of":[16],"camera":[17],"viewpoints.":[18],"For":[19],"that":[20,98],"purpose,":[21],"RGB":[22],"and":[23,29],"imagery":[25,48],"are":[26,40],"first":[27],"corrected":[28],"fused":[30],"with":[31,88,101],"intensity":[33],"correlation-based":[34],"algorithm.":[35],"Then,":[36],"absolute":[37],"temperature":[38],"values":[39],"obtained":[41],"from":[42],"normalized":[44],"data.":[45],"Finally,":[46],"is":[49,67],"mapped":[50],"on":[51],"cloud":[54],"using":[55,70],"Graphics":[57],"Processing":[58],"Unit":[59],"(GPU)":[60],"hardware.":[61],"The":[62],"proposed":[63],"occlusion-aware":[64],"mapping":[65],"algorithm":[66],"massively":[68],"parallelized":[69],"OpenGL's":[71],"compute":[72],"shaders.":[73],"Our":[74],"solution":[75],"allows":[76],"dense":[78],"in":[82],"a":[83,102],"lower":[84,104],"response":[85],"time":[86],"compared":[87],"other":[89],"notable":[90],"soft-ware":[91],"solutions":[92],"(e.g.,":[93],"Agisoft":[94],"Metashape":[95],"or":[96],"Pix4Dmapper)":[97],"yield":[99],"results":[100],"significantly":[103],"density.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
