{"id":"https://openalex.org/W4391555782","doi":"https://doi.org/10.48550/arxiv.2402.01134","title":"DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based Mapping","display_name":"DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based Mapping","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4391555782","doi":"https://doi.org/10.48550/arxiv.2402.01134"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2402.01134","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.01134","pdf_url":"https://arxiv.org/pdf/2402.01134","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.01134","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062227240","display_name":"Zequan Chen","orcid":"https://orcid.org/0000-0002-7920-780X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zequan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370616","display_name":"Jianping Li","orcid":"https://orcid.org/0000-0002-7522-272X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jianping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104239643","display_name":"Qusheng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Qusheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772177","display_name":"Bisheng Yang","orcid":"https://orcid.org/0000-0001-7736-0803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Bisheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100631018","display_name":"Zhen Dong","orcid":"https://orcid.org/0000-0002-9917-7628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Zhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.813978910446167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6897902488708496},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6372682452201843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5313720703125},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.4396851062774658},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.4071119427680969},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39467158913612366},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.359835684299469}],"concepts":[{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.813978910446167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6897902488708496},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6372682452201843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5313720703125},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.4396851062774658},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.4071119427680969},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39467158913612366},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.359835684299469},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2402.01134","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.01134","pdf_url":"https://arxiv.org/pdf/2402.01134","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2402.01134","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2402.01134","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.01134","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.01134","pdf_url":"https://arxiv.org/pdf/2402.01134","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W2059768187","https://openalex.org/W4247925126","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4327774218","https://openalex.org/W4379143281","https://openalex.org/W3206445629","https://openalex.org/W2605096541","https://openalex.org/W2010500171"],"abstract_inverted_index":{"Automated":[0],"Aerial":[1,43],"Triangulation":[2],"(AAT),":[3],"aiming":[4],"to":[5,90],"restore":[6],"image":[7,98],"pose":[8,152],"and":[9,60,82,95,112,125,145,151,180],"reconstruct":[10],"sparse":[11],"points":[12],"simultaneously,":[13],"plays":[14],"a":[15,35,67,102,135],"pivotal":[16],"role":[17],"in":[18,29,40,105,177],"earth":[19],"observation.":[20],"With":[21],"its":[22,49,88,175],"rich":[23],"research":[24],"heritage":[25],"spanning":[26],"several":[27],"decades":[28],"photogrammetry,":[30],"AAT":[31,52,74,119,127,172],"has":[32],"evolved":[33],"into":[34],"fundamental":[36],"process":[37],"widely":[38],"applied":[39],"large-scale":[41,155],"Unmanned":[42],"Vehicle":[44],"(UAV)":[45],"based":[46],"mapping.":[47],"Despite":[48],"advancements,":[50],"classic":[51],"methods":[53,120,128],"still":[54],"face":[55],"challenges":[56],"like":[57],"low":[58],"efficiency":[59,179],"limited":[61],"robustness.":[62],"This":[63],"paper":[64],"introduces":[65],"DeepAAT,":[66],"deep":[68],"learning":[69],"network":[70],"designed":[71],"specifically":[72],"for":[73,154],"of":[75,85,123,131,138,182,194],"UAV":[76,156],"imagery.":[77],"DeepAAT":[78,100,195],"considers":[79],"both":[80],"spatial":[81],"spectral":[83],"characteristics":[84],"imagery,":[86],"enhancing":[87],"capability":[89],"resolve":[91],"erroneous":[92],"matching":[93],"pairs":[94],"accurately":[96],"predict":[97],"poses.":[99],"marks":[101],"significant":[103],"leap":[104],"AAT's":[106],"efficiency,":[107],"ensuring":[108],"thorough":[109],"scene":[110,143],"coverage":[111],"precision.":[113],"Its":[114],"processing":[115],"speed":[116],"outpaces":[117],"incremental":[118],"by":[121,129],"hundreds":[122],"times":[124,132],"global":[126],"tens":[130],"while":[133],"maintaining":[134],"comparable":[136],"level":[137],"reconstruction":[139,185],"accuracy.":[140],"Additionally,":[141],"DeepAAT's":[142,167],"clustering":[144],"merging":[146],"strategy":[147],"facilitate":[148],"rapid":[149],"localization":[150],"determination":[153],"images,":[157],"even":[158],"under":[159],"constrained":[160],"computing":[161],"resources.":[162],"The":[163],"experimental":[164],"results":[165],"demonstrate":[166],"substantial":[168],"improvements":[169],"over":[170],"conventional":[171],"methods,":[173],"highlighting":[174],"potential":[176],"the":[178,189,192],"accuracy":[181],"UAV-based":[183],"3D":[184],"tasks.":[186],"To":[187],"benefit":[188],"photogrammetry":[190],"society,":[191],"code":[193],"will":[196],"be":[197],"released":[198],"at:":[199],"https://github.com/WHU-USI3DV/DeepAAT.":[200]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
