{"id":"https://openalex.org/W2099884627","doi":"https://doi.org/10.1109/lgrs.2009.2021990","title":"Cross-Range Scaling for ISAR Based on Image Rotation Correlation","display_name":"Cross-Range Scaling for ISAR Based on Image Rotation Correlation","publication_year":2009,"publication_date":"2009-06-02","ids":{"openalex":"https://openalex.org/W2099884627","doi":"https://doi.org/10.1109/lgrs.2009.2021990","mag":"2099884627"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2009.2021990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2009.2021990","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5055370739","display_name":"Chunmao Yeh","orcid":"https://orcid.org/0000-0003-3001-7260"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun-Mao Yeh","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Dept. of Electron. Eng., Tsinghua Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Tsinghua Univ., Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011019948","display_name":"Jia Xu","orcid":"https://orcid.org/0000-0001-7887-5913"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Xu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Dept. of Electron. Eng., Tsinghua Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Tsinghua Univ., Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108167744","display_name":"Yingning Peng","orcid":"https://orcid.org/0009-0001-7951-7648"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying-Ning Peng","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Dept. of Electron. Eng., Tsinghua Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Tsinghua Univ., Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090278324","display_name":"Xiutan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu-Tan Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Dept. of Electron. Eng., Tsinghua Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Tsinghua Univ., Beijing","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055370739"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":96.9939,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.99770062,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":"3","first_page":"597","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":1.0,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":1.0,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.8381382822990417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6443688869476318},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5410668849945068},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5034040808677673},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48900043964385986},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4783858060836792},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.46533456444740295},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.46385952830314636},{"id":"https://openalex.org/keywords/cross-correlation","display_name":"Cross-correlation","score":0.4598662853240967},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.45820310711860657},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.4274485409259796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42632603645324707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.416690468788147},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41457152366638184},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.41059818863868713},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.30568379163742065},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.26316678524017334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24995273351669312},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19708821177482605},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.1457560956478119},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11755111813545227},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0848509669303894}],"concepts":[{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.8381382822990417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6443688869476318},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5410668849945068},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5034040808677673},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48900043964385986},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4783858060836792},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.46533456444740295},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.46385952830314636},{"id":"https://openalex.org/C163018871","wikidata":"https://www.wikidata.org/wiki/Q1302587","display_name":"Cross-correlation","level":2,"score":0.4598662853240967},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.45820310711860657},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.4274485409259796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42632603645324707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.416690468788147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41457152366638184},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.41059818863868713},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.30568379163742065},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.26316678524017334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24995273351669312},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19708821177482605},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.1457560956478119},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11755111813545227},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0848509669303894},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2009.2021990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2009.2021990","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1527747735","https://openalex.org/W1538078697","https://openalex.org/W1994628498","https://openalex.org/W2024889414","https://openalex.org/W2035263724","https://openalex.org/W2049674095","https://openalex.org/W2056210040","https://openalex.org/W2099635337","https://openalex.org/W2125674658","https://openalex.org/W2141171639","https://openalex.org/W2143682340","https://openalex.org/W2146065092","https://openalex.org/W2168308810","https://openalex.org/W2348502036","https://openalex.org/W3147323350"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W1994788526","https://openalex.org/W1915418828","https://openalex.org/W2613451563","https://openalex.org/W1966299760","https://openalex.org/W2150075356","https://openalex.org/W2007886977"],"abstract_inverted_index":{"For":[0,49],"better":[1],"understanding":[2],"of":[3,35,42,62,124],"the":[4,22,27,33,38,43,69,96,101,122,125],"imaging":[5],"result":[6],"provided":[7,119],"by":[8],"inverse":[9],"synthetic":[10],"aperture":[11],"radar":[12],"(ISAR),":[13],"it":[14,20],"is":[15,65,83,92],"more":[16,104],"desirable":[17],"to":[18,26,67,94,120],"present":[19],"from":[21],"conventional":[23],"range-Doppler":[24],"domain":[25],"homogeneous":[28],"range-cross-range":[29],"domain.":[30],"To":[31],"accomplish":[32],"process":[34],"cross-range":[36],"scaling,":[37],"rotating":[39,53],"velocity":[40],"(RV)":[41],"target":[44],"should":[45],"be":[46],"estimated":[47],"first.":[48],"a":[50,55,60,86],"uniformly":[51],"planar":[52],"object,":[54],"novel":[56],"method":[57,103,127],"based":[58],"on":[59],"concept":[61],"rotation":[63],"correlation":[64],"proposed":[66,93,102,126],"obtain":[68],"RV":[70],"in":[71],"this":[72],"letter,":[73],"and":[74,114],"neither":[75],"prominent":[76],"scattering":[77],"centers":[78],"nor":[79],"phase":[80],"coefficient":[81],"extraction":[82],"required.":[84],"Furthermore,":[85],"three-step":[87],"fast-Fourier-transform-based":[88],"convolution":[89],"interpolation":[90],"scheme":[91],"realize":[95],"above":[97],"correlation,":[98],"which":[99],"makes":[100],"efficient":[105],"for":[106,128],"implementation.":[107],"Finally,":[108],"experimental":[109],"results":[110],"with":[111],"both":[112],"simulated":[113],"real":[115],"ISAR":[116],"data":[117],"are":[118],"demonstrate":[121],"effectiveness":[123],"different":[129],"targets.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":11},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
