{"id":"https://openalex.org/W1479668926","doi":"https://doi.org/10.1109/jstars.2015.2439266","title":"High-Resolution Inverse Synthetic Aperture Radar Imaging and Scaling With Sparse Aperture","display_name":"High-Resolution Inverse Synthetic Aperture Radar Imaging and Scaling With Sparse Aperture","publication_year":2015,"publication_date":"2015-06-17","ids":{"openalex":"https://openalex.org/W1479668926","doi":"https://doi.org/10.1109/jstars.2015.2439266","mag":"1479668926"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2439266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2439266","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5087493208","display_name":"Gang Xu","orcid":"https://orcid.org/0000-0001-9875-051X"},"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":"Gang Xu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021408538","display_name":"Mengdao Xing","orcid":"https://orcid.org/0000-0002-4084-0915"},"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":"Meng-Dao Xing","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065367615","display_name":"Xiang\u2010Gen Xia","orcid":"https://orcid.org/0000-0002-5599-7683"},"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"]},{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiang-Gen Xia","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417948","display_name":"Qianqian Chen","orcid":"https://orcid.org/0000-0003-4337-4267"},"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":"Qian-Qian Chen","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731323","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-5797-5480"},"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":"Lei Zhang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102927094","display_name":"Zheng Bao","orcid":"https://orcid.org/0000-0002-7348-7644"},"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":"Zheng Bao","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":133.0613,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.99870826,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":"8","first_page":"4010","last_page":"4027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9993000030517578,"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/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.8507438898086548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066998839378357},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5388355851173401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4947151839733124},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.47300487756729126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4465317130088806},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36465713381767273},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.30044305324554443}],"concepts":[{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.8507438898086548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066998839378357},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5388355851173401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4947151839733124},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.47300487756729126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4465317130088806},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36465713381767273},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.30044305324554443},{"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/jstars.2015.2439266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2439266","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1141507390","display_name":null,"funder_award_id":"JJ0200122201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2956713003","display_name":null,"funder_award_id":"61222108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4701584307","display_name":null,"funder_award_id":"61001211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6159923287","display_name":null,"funder_award_id":"61301280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1972009708","https://openalex.org/W1980867543","https://openalex.org/W1986931325","https://openalex.org/W2000923736","https://openalex.org/W2007854023","https://openalex.org/W2013352441","https://openalex.org/W2015418199","https://openalex.org/W2017832133","https://openalex.org/W2021151186","https://openalex.org/W2022028092","https://openalex.org/W2041228275","https://openalex.org/W2048659479","https://openalex.org/W2049147119","https://openalex.org/W2049674095","https://openalex.org/W2051251230","https://openalex.org/W2071284784","https://openalex.org/W2073032214","https://openalex.org/W2073682504","https://openalex.org/W2080267259","https://openalex.org/W2081438586","https://openalex.org/W2082456873","https://openalex.org/W2086116263","https://openalex.org/W2088525693","https://openalex.org/W2097973875","https://openalex.org/W2101800734","https://openalex.org/W2110965352","https://openalex.org/W2111194731","https://openalex.org/W2113484718","https://openalex.org/W2120596570","https://openalex.org/W2123693211","https://openalex.org/W2127952006","https://openalex.org/W2131185039","https://openalex.org/W2132042151","https://openalex.org/W2136005975","https://openalex.org/W2138904554","https://openalex.org/W2143070649","https://openalex.org/W2145096794","https://openalex.org/W2146554500","https://openalex.org/W2154304330","https://openalex.org/W2166551263","https://openalex.org/W2168458522","https://openalex.org/W2218847937","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2596962140","https://openalex.org/W4250955649","https://openalex.org/W6735339130"],"related_works":["https://openalex.org/W2996630340","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2613451563","https://openalex.org/W2545123933","https://openalex.org/W1994788526","https://openalex.org/W2011609146","https://openalex.org/W2547107543"],"abstract_inverted_index":{"In":[0,50,78],"high-resolution":[1,59],"radar":[2,20],"imaging,":[3],"the":[4,42,70,81,98,136,152,183,190,203,215,230,237,266,269],"rotational":[5,184],"motion":[6,46,72,117,185],"of":[7,44,100,162,192,268],"targets":[8],"generally":[9],"produces":[10],"migration":[11],"through":[12],"resolution":[13],"cells":[14],"(MTRC)":[15],"in":[16,135,202],"inverse":[17],"synthetic":[18],"aperture":[19,35],"(ISAR)":[21],"images.":[22],"Usually,":[23],"it":[24],"is":[25,85,104,145,197],"a":[26,55,88,93,112,148,160,171,177,208,250],"challenge":[27],"to":[28,40,110,175,248,264],"realize":[29,176],"accurate":[30,223],"MTRC":[31,76,123],"correction":[32,124],"on":[33,257],"sparse":[34,113],"(SA)":[36],"data,":[37,66,235],"which":[38,67,196],"tends":[39],"degrade":[41],"performance":[43],"translational":[45,71,116],"compensation":[47,120],"and":[48,62,75,121,130,154,167,222,246,259],"SA-imaging.":[49],"this":[51,79],"paper,":[52],"we":[53],"present":[54],"novel":[56],"algorithm":[57],"for":[58,199],"ISAR":[60,82,102,200,220],"imaging":[61,143,221],"scaling":[63,201],"from":[64,189],"SA":[65,234],"effectively":[68],"incorporates":[69],"phase":[73,118,132,138,156,179,194,224,239],"error":[74,119,133,157,180,245],"corrections.":[77],"algorithm,":[80],"image":[83,103],"formation":[84],"converted":[86],"into":[87],"sparsity-driven":[89,231],"optimization":[90,232],"via":[91],"maximum":[92],"posterior":[94],"(MAP)":[95],"estimation,":[96],"where":[97,236],"statistics":[99],"an":[101],"modeled":[105,126],"as":[106,127,243],"complex":[107],"Laplace":[108],"distribution":[109],"provide":[111],"prior.":[114],"The":[115],"cross-range":[122,204],"are":[125,165,226,241,262],"joint":[128,218],"range-invariant":[129,153],"range-variant":[131,155,193],"corrections":[134],"range-compressed":[137],"history":[139],"domain.":[140],"Our":[141],"proposed":[142,270],"approach":[144],"performed":[146,263],"by":[147,169,213,228],"two-step":[149],"process:":[150],"1)":[151],"estimations":[158],"using":[159,170],"metric":[161],"minimum":[163],"entropy":[164],"employed":[166],"solved":[168],"coordinate":[172],"descent":[173],"method":[174],"coarse":[178],"correction.":[181,252],"Meanwhile,":[182],"can":[186],"be":[187],"obtained":[188],"estimation":[191],"errors,":[195],"used":[198],"dimension;":[205],"2)":[206],"under":[207],"two-dimensional":[209],"(2-D)":[210],"Fourier-based":[211],"dictionary":[212],"involving":[214],"slant-range":[216],"MTRC,":[217],"MTRC-corrected":[219],"adjustment":[225],"realized":[227],"solving":[229],"with":[233],"residual":[238],"errors":[240],"treated":[242],"model":[244],"removed":[247],"achieve":[249],"fine":[251],"Finally,":[253],"some":[254],"experiments":[255],"based":[256],"simulated":[258],"measured":[260],"data":[261],"confirm":[265],"effectiveness":[267],"algorithm.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}