{"id":"https://openalex.org/W1999702410","doi":"https://doi.org/10.1109/tgrs.2014.2332252","title":"A Resample-Based SVA Algorithm for Sidelobe Reduction of SAR/ISAR Imagery With Noninteger Nyquist Sampling Rate","display_name":"A Resample-Based SVA Algorithm for Sidelobe Reduction of SAR/ISAR Imagery With Noninteger Nyquist Sampling Rate","publication_year":2014,"publication_date":"2014-07-15","ids":{"openalex":"https://openalex.org/W1999702410","doi":"https://doi.org/10.1109/tgrs.2014.2332252","mag":"1999702410"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2014.2332252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2332252","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/A5083680496","display_name":"Tao Xiong","orcid":"https://orcid.org/0000-0002-9773-649X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Xiong","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","Key Lab. of Intell. Perception, Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception, Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065660222","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-4940-1211"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","Key Lab. of Intell. Perception, Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception, Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043022387","display_name":"Biao Hou","orcid":"https://orcid.org/0000-0002-1996-186X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Hou","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","Key Lab. of Intell. Perception, Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception, Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424542","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0003-3366-3137"},"institutions":[{"id":"https://openalex.org/I186335123","display_name":"East Carolina University","ror":"https://ror.org/01vx35703","country_code":"US","type":"education","lineage":["https://openalex.org/I186335123"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["Department of Geography, Planning and Environment, East Carolina University, Greenville, NC, USA","Dept. of Geogr., Planning & Environ., East Carolina Univ., Greenville, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, Planning and Environment, East Carolina University, Greenville, NC, USA","institution_ids":["https://openalex.org/I186335123"]},{"raw_affiliation_string":"Dept. of Geogr., Planning & Environ., East Carolina Univ., Greenville, NC, USA","institution_ids":["https://openalex.org/I186335123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100757725","display_name":"Hongying Liu","orcid":"https://orcid.org/0000-0002-8475-2749"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongying Liu","raw_affiliation_strings":["School of Electronic Engineering and the Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, Xidian University, Xi'an, China","Key Lab. of Intell. Perception, Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and the Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception, Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083680496"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.6196,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.85555823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"53","issue":"2","first_page":"1016","last_page":"1028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9983999729156494,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9980999827384949,"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/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.7659955024719238},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.6758642196655273},{"id":"https://openalex.org/keywords/sinc-function","display_name":"Sinc function","score":0.6394999623298645},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5651721954345703},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5582154989242554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5487889647483826},{"id":"https://openalex.org/keywords/apodization","display_name":"Apodization","score":0.5404077768325806},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5377780199050903},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5024211406707764},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4787234961986542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4564324915409088},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4082905948162079},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38161808252334595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32703936100006104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27136728167533875},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.17297637462615967},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.09208142757415771},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08249595761299133},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06769189238548279}],"concepts":[{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.7659955024719238},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.6758642196655273},{"id":"https://openalex.org/C152303783","wikidata":"https://www.wikidata.org/wiki/Q855949","display_name":"Sinc function","level":2,"score":0.6394999623298645},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5651721954345703},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5582154989242554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5487889647483826},{"id":"https://openalex.org/C51427946","wikidata":"https://www.wikidata.org/wiki/Q618827","display_name":"Apodization","level":2,"score":0.5404077768325806},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5377780199050903},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5024211406707764},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4787234961986542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4564324915409088},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4082905948162079},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38161808252334595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32703936100006104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27136728167533875},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.17297637462615967},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.09208142757415771},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08249595761299133},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06769189238548279},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2014.2332252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2332252","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":[{"score":0.46000000834465027,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2910164516","display_name":null,"funder_award_id":"JB140230","funder_id":"https://openalex.org/F4320323230","funder_display_name":"Xidian University"},{"id":"https://openalex.org/G588800003","display_name":null,"funder_award_id":"K5051399058","funder_id":"https://openalex.org/F4320323230","funder_display_name":"Xidian University"}],"funders":[{"id":"https://openalex.org/F4320323230","display_name":"Xidian University","ror":"https://ror.org/05s92vm98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W357677209","https://openalex.org/W582175795","https://openalex.org/W1527747735","https://openalex.org/W1969018576","https://openalex.org/W2030653757","https://openalex.org/W2046502693","https://openalex.org/W2047254338","https://openalex.org/W2060053288","https://openalex.org/W2077846631","https://openalex.org/W2081057617","https://openalex.org/W2108909559","https://openalex.org/W2109572175","https://openalex.org/W2112101337","https://openalex.org/W2116207699","https://openalex.org/W2123269056","https://openalex.org/W2129986766","https://openalex.org/W2137167991","https://openalex.org/W2153424217","https://openalex.org/W2165078620","https://openalex.org/W2432517183","https://openalex.org/W2490181879","https://openalex.org/W2981264952","https://openalex.org/W6642512451"],"related_works":["https://openalex.org/W4236030748","https://openalex.org/W4285295732","https://openalex.org/W2327785069","https://openalex.org/W2139945900","https://openalex.org/W2171211801","https://openalex.org/W2383832003","https://openalex.org/W2137092394","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W2554269627"],"abstract_inverted_index":{"A":[0],"resample-based":[1],"spatial":[2],"variant":[3],"apodization":[4],"(SVA)":[5],"algorithm":[6,129,141],"for":[7,12,94,120,145],"sidelobe":[8,90,122,160],"reduction":[9],"was":[10,38,84,92,130,142],"studied":[11],"synthetic":[13],"aperture":[14],"radar":[15],"(SAR)":[16],"and":[17,43,100,107,124,132,148,156,162],"inverse":[18],"SAR":[19,99,147],"(ISAR)":[20],"imagery":[21,136],"with":[22,40,168],"a":[23],"noninteger":[24,46,49,68,95],"Nyquist":[25,96],"sampling":[26,82],"rate.":[27],"The":[28,48,86,128,140],"weighting":[29,75,112],"function":[30,76,113],"of":[31,66,73,80,89,110],"every":[32],"sample":[33,42],"in":[34,55,159,166],"the":[35,41,56,63,70,74,81,105,111,115],"image":[36,57],"domain":[37,58],"calculated":[39],"two":[44,67],"adjacent":[45],"samples.":[47],"samples":[50],"were":[51,118],"obtained":[52],"by":[53],"interpolation":[54],"using":[59],"sinc":[60],"function.":[61],"With":[62],"proper":[64],"selection":[65],"samples,":[69],"monotonic":[71],"property":[72],"on":[77],"each":[78],"side":[79],"point":[83],"preserved.":[85],"unequivocal":[87],"determination":[88],"suppression":[91,123,161],"achieved":[93,158],"sampled":[97],"(NINS)":[98],"ISAR":[101,149],"imagery.":[102],"In":[103],"addition,":[104],"lower":[106],"upper":[108],"boundaries":[109],"under":[114],"cosine-on-pedestal":[116],"condition":[117],"extended":[119],"further":[121],"main":[125,163],"lobe":[126,164],"sharpening.":[127],"implemented":[131],"applied":[133],"to":[134],"NINS":[135],"that":[137],"is":[138],"simulated.":[139],"then":[143],"assessed":[144],"acquired":[146],"images.":[150],"Improved":[151],"results":[152],"have":[153],"been":[154],"qualitatively":[155],"quantitatively":[157],"sharping":[165],"comparison":[167],"an":[169],"existing":[170],"algorithm.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
