{"id":"https://openalex.org/W2533791328","doi":"https://doi.org/10.1109/aipr.2011.6176342","title":"Error propagation for DEM-based georegistration of motion imagery","display_name":"Error propagation for DEM-based georegistration of motion imagery","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2533791328","doi":"https://doi.org/10.1109/aipr.2011.6176342","mag":"2533791328"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2011.6176342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2011.6176342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/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":false,"raw_author_name":"Mark D. Pritt","raw_affiliation_strings":["Lockheed Martin, Gaithersburg, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin, Gaithersburg, MD, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110074099","display_name":"Edward J. Wright","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":false,"raw_author_name":"Edward J. Wright","raw_affiliation_strings":["Lockheed Martin, Gaithersburg, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin, Gaithersburg, MD, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035058661","display_name":"Kevin J. LaTourette","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"]},{"id":"https://openalex.org/I4210143271","display_name":"Goodyear (United States)","ror":"https://ror.org/03bfyaa19","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143271"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin J. LaTourette","raw_affiliation_strings":["Lockheed Martin, Goodyear, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin, Goodyear, AZ, USA","institution_ids":["https://openalex.org/I1287521167","https://openalex.org/I4210143271"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0879,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80167264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994000196456909,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976000189781189,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9952999949455261,"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":0.6312500238418579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6200883984565735},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.617905855178833},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.6046973466873169},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5293686389923096},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4518796503543854},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4204566776752472},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4077299237251282},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2631324529647827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1732921600341797},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07743874192237854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6312500238418579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6200883984565735},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.617905855178833},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.6046973466873169},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5293686389923096},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4518796503543854},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4204566776752472},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4077299237251282},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2631324529647827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1732921600341797},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07743874192237854},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2011.6176342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2011.6176342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.5600000023841858,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W217902876","https://openalex.org/W1484947071","https://openalex.org/W1550219794","https://openalex.org/W1982947349","https://openalex.org/W2009189538","https://openalex.org/W2082528369","https://openalex.org/W2084195769","https://openalex.org/W2085261163","https://openalex.org/W2102003450","https://openalex.org/W2432517183","https://openalex.org/W2536523521","https://openalex.org/W2981264952","https://openalex.org/W4242811491","https://openalex.org/W6670986854"],"related_works":["https://openalex.org/W4206741056","https://openalex.org/W2050611583","https://openalex.org/W2941500316","https://openalex.org/W3043572015","https://openalex.org/W4312213166","https://openalex.org/W2042834017","https://openalex.org/W2121524756","https://openalex.org/W4283792480","https://openalex.org/W1496791732","https://openalex.org/W2369060955"],"abstract_inverted_index":{"A":[0],"new":[1],"method":[2,44],"for":[3,67,106],"georegistering":[4],"motion":[5,35,40],"imagery":[6,36,108,114],"has":[7],"recently":[8],"been":[9],"introduced.":[10],"It":[11,76],"requires":[12],"a":[13,46,117,123,168],"digital":[14],"elevation":[15],"model":[16,49,89],"(DEM)":[17],"from":[18],"which":[19],"it":[20],"generates":[21],"and":[22,38,53,91,130,149,180],"registers":[23],"predicted":[24],"images":[25,144],"to":[26,80,94,102,116,167],"actual":[27],"images.":[28],"For":[29,112,163],"aerial":[30],"imagery,":[31],"including":[32,57],"wide":[33],"area":[34],"(WAMI)":[37],"full":[39],"video":[41],"(FMV),":[42],"the":[43,69,82,86,95,143,146,158,191],"fits":[45],"multi-parameter":[47],"camera":[48,88],"composed":[50],"of":[51,72,85,126,133,142,176],"exterior":[52],"interior":[54],"orientation":[55],"parameters":[56,90],"radial":[58],"distortion.":[59],"In":[60,184],"this":[61,185],"paper":[62],"we":[63,121,172],"describe":[64],"an":[65,174],"algorithm":[66],"estimating":[68],"geospatial":[70],"accuracy":[71,175,189],"DEM-based":[73],"georegistration":[74,192],"algorithms.":[75],"employs":[77],"statistical":[78],"methods":[79,99],"calculate":[81],"error":[83,125,132,159],"distributions":[84],"georegistered":[87,115,166],"propagate":[92],"them":[93],"ground.":[96],"Monte":[97],"Carlo":[98],"are":[100],"employed":[101],"achieve":[103],"accurate":[104],"results":[105],"oblique":[107],"with":[109,153],"occluded":[110],"features.":[111],"FMV":[113],"high-resolution":[118],"LIDAR":[119],"DEM,":[120,171],"obtained":[122,173],"horizontal":[124],"2.3":[127],"m":[128,135,178,182],"CE90":[129,179],"vertical":[131],"0.66":[134],"LE90.":[136,183],"These":[137],"values":[138],"increased":[139],"in":[140],"regions":[141],"where":[145],"obliquity":[147],"angles":[148],"ranges":[150],"increased.":[151],"Comparison":[152],"GPS":[154],"data":[155,165],"demonstrated":[156],"that":[157],"estimates":[160],"were":[161],"reliable.":[162],"WAMI":[164],"low-resolution":[169],"USGS":[170],"16.6":[177],"8.2":[181],"case":[186],"poor":[187],"DEM":[188],"limited":[190],"accuracy.":[193]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}