{"id":"https://openalex.org/W2068402523","doi":"https://doi.org/10.1109/aipr.2014.7041928","title":"Fast orthorectified mosaics of thousands of aerial photographs from small UAVs","display_name":"Fast orthorectified mosaics of thousands of aerial photographs from small UAVs","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2068402523","doi":"https://doi.org/10.1109/aipr.2014.7041928","mag":"2068402523"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2014.7041928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2014.7041928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5002558495","display_name":"Mark D. Pritt","orcid":null},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mark D. Pritt","raw_affiliation_strings":["Lockheed Martin IS&GS, Gaithersburg, Maryland","Lockheed Martin IS&GS Gaithersburg, Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin IS&GS, Gaithersburg, Maryland","institution_ids":["https://openalex.org/I1287521167"]},{"raw_affiliation_string":"Lockheed Martin IS&GS Gaithersburg, Maryland","institution_ids":["https://openalex.org/I1287521167"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002558495"],"corresponding_institution_ids":["https://openalex.org/I1287521167"],"apc_list":null,"apc_paid":null,"fwci":4.6277,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94507188,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"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/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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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":0.761634111404419},{"id":"https://openalex.org/keywords/orthophoto","display_name":"Orthophoto","score":0.5871511101722717},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5538679957389832},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5533511638641357},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.5125439167022705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5017261505126953},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47379299998283386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.462628573179245},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.43984392285346985},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4354091286659241},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4291655719280243},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42878457903862},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.42399734258651733},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.41913288831710815},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.41534388065338135},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30403339862823486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11596089601516724},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1028381884098053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761634111404419},{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.5871511101722717},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5538679957389832},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5533511638641357},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.5125439167022705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5017261505126953},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47379299998283386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.462628573179245},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.43984392285346985},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4354091286659241},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4291655719280243},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42878457903862},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.42399734258651733},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41913288831710815},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.41534388065338135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30403339862823486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11596089601516724},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1028381884098053},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/aipr.2014.7041928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2014.7041928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7599999904632568,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1484371059","https://openalex.org/W1550219794","https://openalex.org/W1976972916","https://openalex.org/W1992989752","https://openalex.org/W2011476852","https://openalex.org/W2033819227","https://openalex.org/W2124313187","https://openalex.org/W2133192850","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W4238710106","https://openalex.org/W6629047451","https://openalex.org/W6629250111","https://openalex.org/W6632973812"],"related_works":["https://openalex.org/W1532075541","https://openalex.org/W2368026034","https://openalex.org/W2367777051","https://openalex.org/W3087014565","https://openalex.org/W1657914084","https://openalex.org/W2363964889","https://openalex.org/W257151485","https://openalex.org/W2157723036","https://openalex.org/W1614519511","https://openalex.org/W4226334185"],"abstract_inverted_index":{"Small":[0],"unmanned":[1],"air":[2],"vehicles":[3],"(UAVs)":[4],"provide":[5,66],"an":[6,153,214],"economical":[7],"means":[8],"of":[9,13,40,51,57,70,109,121,127,190,244,254,262,269,285],"imaging":[10],"large":[11],"areas":[12],"terrain":[14],"at":[15,37,241],"far":[16],"lower":[17],"cost":[18],"than":[19],"satellites.":[20],"Applications":[21],"range":[22],"from":[23,258],"precision":[24],"agriculture":[25],"to":[26,59,175,182,185,198,207,265,277],"disaster":[27],"response":[28],"and":[29,53,96,135,160,178,202,220,231,280],"power":[30],"line":[31],"maintenance.":[32],"Because":[33],"small":[34],"UAVs":[35],"fly":[36],"low":[38],"altitudes":[39],"approximately":[41],"100":[42],"meters,":[43],"their":[44],"cameras":[45],"have":[46,143],"only":[47,103],"a":[48,61,67,79,104,145,187,223],"limited":[49],"field":[50],"view":[52,69],"must":[54,75],"take":[55],"thousands":[56,126,284],"photographs":[58,74],"cover":[60],"reasonably":[62],"sized":[63],"area.":[64],"To":[65],"unified":[68],"the":[71,119,168,171,176,195,204,242,255,259,263,266,270,275],"area,":[72],"these":[73,199],"be":[76,278],"combined":[77],"into":[78],"seamless":[80],"photo":[81],"mosaic.":[82,272],"The":[83,209],"conventional":[84],"approach":[85],"for":[86,282],"accomplishing":[87],"this":[88,129],"mosaicking":[89,216,256,283],"process":[90,205,257],"is":[91,118,157,211],"called":[92],"block":[93],"bundle":[94,150],"adjustment,":[95],"it":[97],"works":[98],"well":[99],"if":[100],"there":[101,124],"are":[102,125],"few":[105],"tens":[106],"or":[107],"hundreds":[108],"photographs.":[110],"It":[111,193,226],"runs":[112,221],"in":[113,218,228],"O(n3)":[114],"time,":[115],"where":[116],"n":[117],"number":[120],"images.":[122,286],"When":[123],"photographs,":[128],"method":[130],"fails":[131],"because":[132],"its":[133],"memory":[134],"computational":[136],"time":[137,230,250],"requirements":[138],"become":[139],"prohibitively":[140],"excessive.":[141],"We":[142],"developed":[144],"new":[146,188],"technique":[147],"that":[148,156],"replaces":[149],"adjustment":[151],"with":[152],"iterative":[154],"algorithm":[155,169,210,276],"very":[158,233],"fast":[159],"requires":[161],"little":[162],"memory.":[163],"After":[164],"pairwise":[165],"image":[166,196,215],"registration,":[167],"projects":[170],"resulting":[172],"tie":[173],"points":[174,201],"ground":[177],"moves":[179],"them":[180],"closer":[181],"each":[183],"other":[184],"produce":[186],"set":[189],"control":[191,200],"points.":[192],"fits":[194],"parameters":[197],"repeats":[203],"iteratively":[206],"convergence.":[208],"implemented":[212],"as":[213],"application":[217],"Java":[219],"on":[222],"Windows":[224],"PC.":[225],"executes":[227],"O(n)":[229],"produces":[232],"high":[234],"resolution":[235],"mosaics":[236],"(2":[237],"cm":[238],"per":[239,247],"pixel)":[240],"rate":[243],"14":[245],"sec":[246],"image.":[248],"This":[249],"includes":[251],"all":[252],"steps":[253],"disk":[260,267],"read":[261],"imagery":[264],"output":[268],"final":[271],"Experiments":[273],"show":[274],"accurate":[279],"reliable":[281]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}