{"id":"https://openalex.org/W2772264261","doi":"https://doi.org/10.1109/igarss.2017.8126993","title":"Preliminary result of a novel yaw and pitch error estimation method for UAV-based FMCW InSAR","display_name":"Preliminary result of a novel yaw and pitch error estimation method for UAV-based FMCW InSAR","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2772264261","doi":"https://doi.org/10.1109/igarss.2017.8126993","mag":"2772264261"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8126993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8126993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5090674034","display_name":"Xikai Fu","orcid":"https://orcid.org/0000-0002-7489-9835"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xikai Fu","raw_affiliation_strings":["The University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050016843","display_name":"Maosheng Xiang","orcid":"https://orcid.org/0000-0002-5818-8769"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maosheng Xiang","raw_affiliation_strings":["The University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015844567","display_name":"Bingnan Wang","orcid":"https://orcid.org/0000-0002-7385-6171"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingnan Wang","raw_affiliation_strings":["The National Key Laboratory of Microwave Imaging Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The National Key Laboratory of Microwave Imaging Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061542953","display_name":"Shuai Jiang","orcid":"https://orcid.org/0000-0002-4785-5132"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Jiang","raw_affiliation_strings":["The University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100739251","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0002-1933-1593"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["The National Key Laboratory of Microwave Imaging Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The National Key Laboratory of Microwave Imaging Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"463","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998999834060669,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.7362691164016724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837169528007507},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.6193705797195435},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6161231994628906},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.5800595879554749},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.5410152673721313},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.48553466796875},{"id":"https://openalex.org/keywords/doppler-frequency","display_name":"Doppler frequency","score":0.47479456663131714},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46209755539894104},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.42531827092170715},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2720683813095093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19566896557807922},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16003823280334473},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1585046648979187},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11575871706008911},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1132282018661499},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.07870513200759888},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06989765167236328}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7362691164016724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837169528007507},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.6193705797195435},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6161231994628906},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.5800595879554749},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.5410152673721313},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.48553466796875},{"id":"https://openalex.org/C2988629262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler frequency","level":3,"score":0.47479456663131714},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46209755539894104},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.42531827092170715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2720683813095093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19566896557807922},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16003823280334473},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1585046648979187},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11575871706008911},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1132282018661499},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.07870513200759888},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06989765167236328},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8126993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8126993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2028843620","https://openalex.org/W2070005629","https://openalex.org/W2118198126","https://openalex.org/W2147517352","https://openalex.org/W2159698030","https://openalex.org/W6667692841"],"related_works":["https://openalex.org/W3006474185","https://openalex.org/W2381926679","https://openalex.org/W2790032735","https://openalex.org/W2373310320","https://openalex.org/W2781934594","https://openalex.org/W2068843146","https://openalex.org/W3206958763","https://openalex.org/W2462749609","https://openalex.org/W2159160885","https://openalex.org/W2371210781"],"abstract_inverted_index":{"The":[0,121],"performance":[1],"of":[2,48,53,74,123,136],"FMCW":[3,128],"InSAR":[4,129],"system":[5],"mounted":[6],"on":[7,126],"small":[8,25],"platforms":[9],"can":[10],"be":[11],"considerably":[12],"degraded":[13],"by":[14,23],"trajectory":[15],"and":[16,30,39,61,80,103,118,134],"attitude":[17],"errors,":[18],"which":[19],"are":[20],"mainly":[21],"caused":[22],"platform's":[24,49],"size,":[26],"low":[27],"flight":[28],"height":[29],"atmospheric":[31],"turbulance.":[32],"Moreover,":[33],"we":[34,56],"cannot":[35],"use":[36],"large-volume,":[37],"heavy-weight":[38],"high-accuracy":[40],"inertial":[41],"measurement":[42],"units":[43],"due":[44],"to":[45,70,85,111],"the":[46,72,112,132],"limit":[47],"capability.":[50],"In":[51],"view":[52],"this":[54],"problem,":[55],"proposed":[57,124],"a":[58],"novel":[59],"yaw":[60,102],"pitch":[62,104],"error":[63,105],"estimation":[64],"method":[65,125],"using":[66,88,106],"range-variant":[67,113],"Doppler":[68,94,116],"centroid":[69,95,117],"improve":[71],"accuracy":[73],"INS.":[75],"Firstly,":[76],"apply":[77],"range":[78,81,98],"compression":[79],"cell":[82],"migration":[83],"correction":[84],"raw":[86],"data":[87,130],"low-accuracy":[89],"INS/DGPS":[90],"data.":[91],"Secondly,":[92],"estimate":[93],"for":[96],"each":[97],"gate.":[99],"Thirdly,":[100],"extract":[101],"total":[107],"least":[108],"square":[109],"according":[110],"model":[114],"between":[115],"atitude":[119],"error.":[120],"implementation":[122],"experimental":[127],"validates":[131],"effectiveness":[133],"reliability":[135],"it.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}