{"id":"https://openalex.org/W4406460879","doi":"https://doi.org/10.1109/bigdata62323.2024.10825635","title":"A machine-learning pipeline for merging and georeferencing very large archives of historical aerial photographs","display_name":"A machine-learning pipeline for merging and georeferencing very large archives of historical aerial photographs","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406460879","doi":"https://doi.org/10.1109/bigdata62323.2024.10825635"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-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/A5049622384","display_name":"Edgar Noda","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eugenio Noda","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101966137","display_name":"Luna Yue Huang","orcid":"https://orcid.org/0000-0001-6676-524X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luna Yue Huang","raw_affiliation_strings":["University of California,Berkeley"],"affiliations":[{"raw_affiliation_string":"University of California,Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113719441","display_name":"Trinetta Chong","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trinetta Chong","raw_affiliation_strings":["University of California,Berkeley"],"affiliations":[{"raw_affiliation_string":"University of California,Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003831581","display_name":"Shruti Jain","orcid":"https://orcid.org/0000-0002-8697-2673"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shruti Jain","raw_affiliation_strings":["University of Oxford"],"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070651325","display_name":"Andreas Madestam","orcid":null},"institutions":[{"id":"https://openalex.org/I161593684","display_name":"Stockholm University","ror":"https://ror.org/05f0yaq80","country_code":"SE","type":"education","lineage":["https://openalex.org/I161593684"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Madestam","raw_affiliation_strings":["Stockholm University"],"affiliations":[{"raw_affiliation_string":"Stockholm University","institution_ids":["https://openalex.org/I161593684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028647178","display_name":"Anna Tompsett","orcid":"https://orcid.org/0000-0002-5415-6583"},"institutions":[{"id":"https://openalex.org/I161593684","display_name":"Stockholm University","ror":"https://ror.org/05f0yaq80","country_code":"SE","type":"education","lineage":["https://openalex.org/I161593684"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Anna Tompsett","raw_affiliation_strings":["Stockholm University"],"affiliations":[{"raw_affiliation_string":"Stockholm University","institution_ids":["https://openalex.org/I161593684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063837333","display_name":"Hannah Druckenmiller","orcid":null},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hannah Druckenmiller","raw_affiliation_strings":["California Institute of Technology"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056371388","display_name":"Solomon Hsiang","orcid":"https://orcid.org/0000-0002-2074-0829"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Solomon Hsiang","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5049622384"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.2616,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58714078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"74","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9919999837875366,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9919999837875366,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.989799976348877,"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":0.9771000146865845,"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/georeference","display_name":"Georeference","score":0.9134446382522583},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7650407552719116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6625922322273254},{"id":"https://openalex.org/keywords/aerial-photos","display_name":"Aerial photos","score":0.5438180565834045},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5166823863983154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156761407852173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49149763584136963},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.20756900310516357},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1675267517566681},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14759093523025513}],"concepts":[{"id":"https://openalex.org/C75145180","wikidata":"https://www.wikidata.org/wiki/Q772007","display_name":"Georeference","level":2,"score":0.9134446382522583},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7650407552719116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6625922322273254},{"id":"https://openalex.org/C3018193623","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial photos","level":2,"score":0.5438180565834045},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5166823863983154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156761407852173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49149763584136963},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.20756900310516357},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1675267517566681},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14759093523025513},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1530780495","https://openalex.org/W1656165940","https://openalex.org/W1677409904","https://openalex.org/W2033819227","https://openalex.org/W2117228865","https://openalex.org/W2124313187","https://openalex.org/W2128409098","https://openalex.org/W2129201358","https://openalex.org/W2132022337","https://openalex.org/W2151103935","https://openalex.org/W2153054365","https://openalex.org/W2257840533","https://openalex.org/W2335900473","https://openalex.org/W2408654640","https://openalex.org/W2767077625","https://openalex.org/W2952331051","https://openalex.org/W3122296048","https://openalex.org/W3124166904","https://openalex.org/W3192089932","https://openalex.org/W4205172069","https://openalex.org/W4225145167","https://openalex.org/W4243493583","https://openalex.org/W4281701209","https://openalex.org/W4298413470","https://openalex.org/W4313252565","https://openalex.org/W6703034650"],"related_works":["https://openalex.org/W2032854667","https://openalex.org/W961349419","https://openalex.org/W4309728497","https://openalex.org/W4389528855","https://openalex.org/W2979657759","https://openalex.org/W2134358561","https://openalex.org/W2067058110","https://openalex.org/W3137941465","https://openalex.org/W4390135147","https://openalex.org/W4283660603"],"abstract_inverted_index":{"We":[0,184,197],"introduce":[1],"SPLAT":[2,105,151,189],"(Stitching":[3],"Pipeline":[4],"for":[5,12,67,127,207],"Large":[6],"Aerial":[7,164],"Tilesets),":[8],"a":[9,54,124,153,191,219,227],"new":[10],"method":[11,59],"the":[13,39,51,107,128,131,141,148,160,180,186,215,236],"automated":[14,91],"and":[15,18,31,57,63,85,98,139,182,204],"simultaneous":[16],"stitching":[17],"geolocation":[19,84],"of":[20,23,28,33,44,53,77,116,130,136,143,155,163,172,188,194,214,221,231,238],"large":[21],"archives":[22],"aerial":[24,34],"historical":[25,78],"photographs.":[26],"Millions":[27],"physical":[29],"prints":[30],"films":[32],"images":[35,46,158],"are":[36,200],"archived":[37],"around":[38],"world.":[40],"The":[41],"growing":[42],"share":[43],"these":[45],"being":[47],"digitally":[48],"scanned":[49],"motivates":[50],"development":[52],"robust,":[55],"scalable,":[56],"efficient":[58],"to":[60,110,113,152,202],"process":[61,114],"them":[62,65],"make":[64],"suitable":[66],"quantitative":[68],"analysis.":[69],"Existing":[70],"solutions":[71],"can":[72,119],"stitch":[73],"datasets":[74],"comprising":[75],"hundreds":[76],"images,":[79],"either":[80],"using":[81,123],"time-consuming":[82],"manual":[83,144],"tie":[86],"point":[87],"collection":[88],"or,":[89],"alternatively,":[90],"techniques":[92],"in":[93,147,167],"those":[94],"cases":[95],"where":[96],"extensive":[97],"detailed":[99],"metadata":[100],"is":[101,106],"available.To":[102],"our":[103],"knowledge,":[104],"first":[108],"pipeline":[109],"be":[111],"able":[112,201],"millions":[115],"images.":[117,211],"It":[118],"do":[120],"so":[121],"by":[122],"simplified":[125],"model":[126],"reconstruction":[129],"image":[132],"positions,":[133],"making":[134],"use":[135],"available":[137],"metadata,":[138],"optimizing":[140],"amount":[142],"labor":[145],"involved":[146],"process.We":[149],"apply":[150],"dataset":[154],"1.67":[156],"million":[157],"from":[159],"National":[161],"Collection":[162],"Photography":[165],"(NCAP)":[166],"Scotland,":[168],"which":[169],"includes":[170],"coverage":[171],"numerous":[173],"countries,":[174],"including":[175],"former":[176],"British":[177],"colonies,":[178],"between":[179],"1940s":[181],"1980s.":[183],"report":[185],"results":[187],"on":[190,218,235],"selected":[192],"group":[193],"African":[195],"countries.":[196],"show":[198],"we":[199],"geolocate":[203],"retrieve":[205],"footprints":[206],"more":[208],"than":[209],"50,000":[210],"An":[212],"analysis":[213],"goereferencing":[216],"error":[217,230],"set":[220],"evaluation":[222],"ground":[223],"control":[224],"points":[225],"yields":[226],"median":[228],"(mean)":[229],"76":[232],"(197)":[233],"meters":[234],"prediciton":[237],"their":[239],"location.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}