{"id":"https://openalex.org/W2344599988","doi":"https://doi.org/10.1109/tgrs.2016.2517100","title":"Automated Bias-Compensation Approach for Pushbroom Sensor Modeling Using Digital Elevation Model","display_name":"Automated Bias-Compensation Approach for Pushbroom Sensor Modeling Using Digital Elevation Model","publication_year":2016,"publication_date":"2016-02-03","ids":{"openalex":"https://openalex.org/W2344599988","doi":"https://doi.org/10.1109/tgrs.2016.2517100","mag":"2344599988"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2517100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2517100","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5062360575","display_name":"Kwan-Young Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kwan-Young Oh","raw_affiliation_strings":["Department of Geoinformatics, The University of Seoul, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Geoinformatics, The University of Seoul, Seoul, Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040012035","display_name":"Hyung-Sup Jung","orcid":"https://orcid.org/0000-0003-2335-8438"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung-Sup Jung","raw_affiliation_strings":["Department of Geoinformatics, The University of Seoul, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Geoinformatics, The University of Seoul, Seoul, Korea","institution_ids":["https://openalex.org/I124633538"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062360575"],"corresponding_institution_ids":["https://openalex.org/I124633538"],"apc_list":null,"apc_paid":null,"fwci":2.5769,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88371443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"54","issue":"6","first_page":"3400","last_page":"3409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":1.0,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9972000122070312,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9700999855995178,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shuttle-radar-topography-mission","display_name":"Shuttle Radar Topography Mission","score":0.862862765789032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7019250392913818},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.661601185798645},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6326614618301392},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5879093408584595},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5676723718643188},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5140148401260376},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4988713264465332},{"id":"https://openalex.org/keywords/control-point","display_name":"Control point","score":0.4911791980266571},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48212718963623047},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4787020981311798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4780902564525604},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.4773000478744507},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47133898735046387},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4691397547721863},{"id":"https://openalex.org/keywords/elevation","display_name":"Elevation (ballistics)","score":0.465013325214386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19822537899017334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18112200498580933},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14457741379737854},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1043754518032074},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09544408321380615}],"concepts":[{"id":"https://openalex.org/C184149073","wikidata":"https://www.wikidata.org/wiki/Q965136","display_name":"Shuttle Radar Topography Mission","level":3,"score":0.862862765789032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019250392913818},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.661601185798645},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6326614618301392},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5879093408584595},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5676723718643188},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5140148401260376},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4988713264465332},{"id":"https://openalex.org/C2777774050","wikidata":"https://www.wikidata.org/wiki/Q16945110","display_name":"Control point","level":2,"score":0.4911791980266571},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48212718963623047},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4787020981311798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4780902564525604},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.4773000478744507},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47133898735046387},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4691397547721863},{"id":"https://openalex.org/C37054046","wikidata":"https://www.wikidata.org/wiki/Q641888","display_name":"Elevation (ballistics)","level":2,"score":0.465013325214386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19822537899017334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18112200498580933},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14457741379737854},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1043754518032074},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09544408321380615},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical 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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2016.2517100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2517100","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G114145400","display_name":null,"funder_award_id":"NRF-2014M1A3A3A03034798","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W194767282","https://openalex.org/W766783176","https://openalex.org/W1160778146","https://openalex.org/W1845348397","https://openalex.org/W1964924273","https://openalex.org/W1965183306","https://openalex.org/W1974521832","https://openalex.org/W1982479238","https://openalex.org/W2003492066","https://openalex.org/W2005717412","https://openalex.org/W2017747704","https://openalex.org/W2034366473","https://openalex.org/W2043819226","https://openalex.org/W2070464292","https://openalex.org/W2076165100","https://openalex.org/W2092160663","https://openalex.org/W2097599521","https://openalex.org/W2105381555","https://openalex.org/W2106103916","https://openalex.org/W2116710882","https://openalex.org/W2121640814","https://openalex.org/W2129377237","https://openalex.org/W2133950389","https://openalex.org/W2137372764","https://openalex.org/W2144818144","https://openalex.org/W2153696326","https://openalex.org/W2162577244","https://openalex.org/W2169068767","https://openalex.org/W2311488090","https://openalex.org/W2331931671","https://openalex.org/W2343142462","https://openalex.org/W3108551281","https://openalex.org/W4285719527","https://openalex.org/W6608027393","https://openalex.org/W6704264864","https://openalex.org/W7043657237"],"related_works":["https://openalex.org/W2011460488","https://openalex.org/W2055954178","https://openalex.org/W3161754348","https://openalex.org/W4294970007","https://openalex.org/W2469485159","https://openalex.org/W3133813888","https://openalex.org/W3093283807","https://openalex.org/W2246795038","https://openalex.org/W2027476449","https://openalex.org/W2079590773"],"abstract_inverted_index":{"Bias":[0],"compensation":[1,50,116,216],"of":[2,9,51,54,88,127,161,165,190,217,219],"rational":[3],"polynomial":[4],"coefficients":[5],"(RPCs)":[6],"is":[7,31],"one":[8],"the":[10,52,74,85,98,111,118,121,128,141,150,158,162,166,179,185,188,191,194,208,213],"most":[11],"important":[12],"preprocessing":[13],"steps":[14],"in":[15,68,136],"high-resolution":[16,55],"satellite":[17],"image":[18,57,65],"processing.":[19],"It":[20],"generally":[21],"requires":[22],"accurate":[23],"ground":[24,168],"control":[25],"points":[26,106],"(GCPs),":[27],"but":[28],"GCP":[29],"acquisition":[30],"both":[32,126],"time":[33],"consuming":[34],"and":[35,44,70,73,103,199],"laborious.":[36],"In":[37,97],"this":[38],"paper,":[39],"we":[40],"propose":[41],"a":[42],"time-":[43],"cost-efficient":[45],"method":[46,181,210],"for":[47,95,110,125,212],"automated":[48,214],"bias":[49,115,215],"RPC":[53],"stereo":[56,64],"pairs.":[58],"Two":[59],"Korean":[60],"Multi-purpose":[61],"Satellite-2":[62],"(KOMPSAT-2)":[63],"pairs":[66],"acquired":[67],"Daejeon":[69],"Busan,":[71],"Korea,":[72],"Shuttle":[75],"Radar":[76],"Topographic":[77],"Mission":[78],"(SRTM)":[79],"digital":[80],"elevation":[81],"model":[82],"(DEM)":[83],"with":[84,117],"spatial":[86,186],"resolution":[87],"3":[89],"arcsec":[90],"(~90":[91],"m)":[92],"were":[93,107,131,145,154],"used":[94,109],"analysis.":[96],"two":[99],"study":[100,129],"areas,":[101],"33":[102],"29":[104],"check":[105],"respectively":[108],"performance":[112],"evaluation.":[113],"After":[114],"proposed":[119,180,209],"method,":[120],"root-mean-square":[122],"(RMS)":[123],"errors":[124,164],"areas":[130],"less":[132],"than":[133,157],"10":[134,147],"m,":[135],"all":[137],"coordinate":[138],"components,":[139],"while":[140],"RMS":[142,151],"error":[143,152,189],"vectors":[144,153],"approximately":[146],"m.":[148],"Although":[149],"slightly":[155],"larger":[156],"standard":[159],"deviations":[160],"residual":[163],"initial":[167],"coordinates,":[169],"it":[170,203],"would":[171],"seem":[172],"that":[173,207],"they":[174],"yielded":[175],"acceptable":[176],"values":[177],"because":[178],"largely":[182],"depends":[183],"on":[184],"resolution,":[187],"SRTM":[192],"DEM,":[193],"tie":[195],"point":[196],"selection":[197],"error,":[198],"so":[200],"on.":[201],"Therefore,":[202],"can":[204],"be":[205],"concluded":[206],"allows":[211],"RPCs":[218],"KOMPSAT-2":[220],"images.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}