{"id":"https://openalex.org/W4415822137","doi":"https://doi.org/10.1109/ro-man63969.2025.11217735","title":"Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters","display_name":"Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4415822137","doi":"https://doi.org/10.1109/ro-man63969.2025.11217735"},"language":null,"primary_location":{"id":"doi:10.1109/ro-man63969.2025.11217735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man63969.2025.11217735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","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/A5020258556","display_name":"Thomas Manzini","orcid":"https://orcid.org/0009-0002-4937-1948"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Manzini","raw_affiliation_strings":["Texas A&amp;M University,Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093479841","display_name":"Priyankari Perali","orcid":"https://orcid.org/0009-0000-2735-1415"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Priyankari Perali","raw_affiliation_strings":["Texas A&amp;M University,Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111196119","display_name":"Raisa Karnik","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raisa Karnik","raw_affiliation_strings":["Texas A&amp;M University,Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047558204","display_name":"Mihir Godbole","orcid":"https://orcid.org/0009-0009-9166-8332"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihir Godbole","raw_affiliation_strings":["Texas A&amp;M University,Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009080427","display_name":"Hasnat Abdullah","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hasnat Abdullah","raw_affiliation_strings":["Texas A&amp;M University,Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048150326","display_name":"Robin R. Murphy","orcid":"https://orcid.org/0000-0003-0774-4312"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robin Murphy","raw_affiliation_strings":["Texas A&amp;M University,Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4014126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"273","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.3847000002861023,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.3847000002861023,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.267300009727478,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10111","display_name":"Remote Sensing in Agriculture","score":0.11760000139474869,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.7577999830245972},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6963000297546387},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6395999789237976},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.5947999954223633},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5669999718666077},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.554099977016449},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.45509999990463257},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4259999990463257},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.39640000462532043}],"concepts":[{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.7577999830245972},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6963000297546387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6561999917030334},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6395999789237976},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.5947999954223633},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5669999718666077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.554099977016449},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.45509999990463257},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4171999990940094},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.38040000200271606},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36910000443458557},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3303999900817871},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.2957000136375427},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C176262533","wikidata":"https://www.wikidata.org/wiki/Q4688034","display_name":"Aerial survey","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2651999890804291},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2554999887943268},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man63969.2025.11217735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man63969.2025.11217735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1999610203","https://openalex.org/W2064654873","https://openalex.org/W2507232699","https://openalex.org/W2550145580","https://openalex.org/W2782241186","https://openalex.org/W2808048733","https://openalex.org/W2891877367","https://openalex.org/W2894877634","https://openalex.org/W2900765460","https://openalex.org/W2905332579","https://openalex.org/W2924936394","https://openalex.org/W2948785796","https://openalex.org/W2963423786","https://openalex.org/W3108636382","https://openalex.org/W3215466066","https://openalex.org/W4210699701","https://openalex.org/W4280567741","https://openalex.org/W4390190281","https://openalex.org/W4394995248","https://openalex.org/W4401416270","https://openalex.org/W4404953279","https://openalex.org/W4411550446"],"related_works":[],"abstract_inverted_index":{"This":[0,223],"work":[1],"presents":[2],"the":[3,53,98,143,149,175,197,214,230],"first":[4],"quantitative":[5],"study":[6],"of":[7,55,135,148,158,165,199,216,229,234],"alignment":[8,26,54,104,201,215],"errors":[9,27],"between":[10],"small":[11],"uncrewed":[12],"aerial":[13],"systems":[14,37],"(sUAS)":[15],"georectified":[16,61,221],"imagery":[17],"and":[18,23,30,38,122,129,145,160,191,202,212,241,253],"a":[19,56,204,227],"priori":[20,57],"building":[21,110,150,239],"polygons":[22,111,240],"finds":[24],"that":[25,41,50,203],"are":[28,47],"non-uniform":[29],"irregular,":[31],"which":[32,237],"negatively":[33],"impacts":[34],"field":[35,87,189,251],"robotics":[36,88,190,252],"human-robot":[39,192],"interfaces":[40],"rely":[42],"on":[43],"geospatial":[44],"information.":[45],"There":[46],"no":[48,140],"efforts":[49],"have":[51],"considered":[52,108],"spatial":[58,200,217,245],"data":[59,218],"with":[60],"sUAS":[62,86,220,235],"imagery,":[63,236],"possibly":[64],"because":[65],"straight-forward":[66],"linear":[67,176],"transformations":[68],"often":[69],"remedy":[70],"any":[71],"misalignment":[72,246],"in":[73,112,219,250],"satellite":[74,181],"imagery.":[75,182,222],"However,":[76],"an":[77,85,130,154,161],"attempt":[78],"to":[79,173,179,196,210,244],"develop":[80],"machine":[81],"learning":[82],"models":[83],"for":[84,90,247],"system":[89],"disaster":[91],"response":[92],"from":[93],"nine":[94],"wide-area":[95],"disasters":[96],"using":[97],"CRASAR-U-DROIDs":[99,232],"dataset":[100,233],"uncovered":[101],"serious":[102],"translational":[103],"errors.":[105],"The":[106,183],"analysis":[107,138],"21,608":[109],"51":[113],"orthomosaic":[114],"images,":[115],"covering":[116],"16787.2":[117],"Acres":[118],"(26.23":[119],"square":[120],"miles),":[121],"7,880":[123],"adjustment":[124],"annotations,":[125],"averaging":[126],"75.36":[127],"pixels":[128],"average":[131,155,162],"intersection":[132],"over":[133],"union":[134],"0.65.":[136],"Further":[137],"found":[139],"uniformity":[141],"among":[142],"angle":[144],"distance":[146,163],"metrics":[147],"polygon":[151],"alignments,":[152],"presenting":[153],"circular":[156],"variance":[157,164],"0.28":[159],"0.45":[166],"pixels<sup":[167],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[168],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>,":[169],"making":[170],"it":[171],"impossible":[172],"use":[174],"transform":[177],"used":[178],"align":[180],"study\u2019s":[184],"primary":[185],"contribution":[186],"is":[187],"alerting":[188],"interaction":[193],"(HRI)":[194],"communities":[195],"problem":[198],"new":[205],"method":[206],"will":[207],"be":[208],"needed":[209],"automate":[211],"communicate":[213],"paper":[224],"also":[225],"contributes":[226],"description":[228],"updated":[231],"contains":[238],"human-curated":[242],"corrections":[243],"further":[248],"research":[249],"HRI.":[254]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-11-03T00:00:00"}
