{"id":"https://openalex.org/W3037855820","doi":"https://doi.org/10.1109/lgrs.2020.3003578","title":"Two-Dimension Joint Super-Resolution ISAR Imaging With Joint Motion Compensation and Azimuth Scaling","display_name":"Two-Dimension Joint Super-Resolution ISAR Imaging With Joint Motion Compensation and Azimuth Scaling","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W3037855820","doi":"https://doi.org/10.1109/lgrs.2020.3003578","mag":"3037855820"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.3003578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3003578","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/A5054198609","display_name":"Shuai Shao","orcid":"https://orcid.org/0000-0001-9842-3703"},"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":"Shuai Shao","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":"https://orcid.org/0000-0001-9842-3703","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/A5100731331","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0003-1907-3640"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat\u2013sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1907-3640","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat\u2013sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011250050","display_name":"Jiaqi Wei","orcid":"https://orcid.org/0000-0002-3807-9338"},"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":"Jiaqi Wei","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":"https://orcid.org/0000-0002-3807-9338","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/A5100411968","display_name":"Hongwei Liu","orcid":"https://orcid.org/0000-0003-4046-163X"},"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":"Hongwei Liu","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":"https://orcid.org/0000-0003-4046-163X","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":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":23.9078,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.98934004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"18","issue":"8","first_page":"1411","last_page":"1415"},"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":0.9993000030517578,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9993000030517578,"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":0.8655747175216675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7265061140060425},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.6764581203460693},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.6422672867774963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5892224907875061},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5875805616378784},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5563809871673584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5004310607910156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37504011392593384},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.285103440284729},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.23329350352287292},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16329604387283325},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1017465591430664}],"concepts":[{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.8655747175216675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265061140060425},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.6764581203460693},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.6422672867774963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5892224907875061},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5875805616378784},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5563809871673584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5004310607910156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37504011392593384},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.285103440284729},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.23329350352287292},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16329604387283325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1017465591430664}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2020.3003578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3003578","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":[{"id":"https://openalex.org/G1591395953","display_name":"\u7a7a\u95f4\u76ee\u6807\u5e8f\u5217ISAR\u6210\u50cf\u4e0e\u4fe1\u606f\u63d0\u53d6\u6280\u672f\u7814\u7a76","funder_award_id":"61771372","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3280503700","display_name":null,"funder_award_id":"61525105","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G6672510343","display_name":null,"funder_award_id":"61771367","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"},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1985343543","https://openalex.org/W2001380973","https://openalex.org/W2024889414","https://openalex.org/W2088479685","https://openalex.org/W2100424871","https://openalex.org/W2101800734","https://openalex.org/W2110965352","https://openalex.org/W2120596570","https://openalex.org/W2152176246","https://openalex.org/W2512433570","https://openalex.org/W2596046861","https://openalex.org/W2767976962","https://openalex.org/W2890784096","https://openalex.org/W2895411653"],"related_works":["https://openalex.org/W2158987500","https://openalex.org/W2068843146","https://openalex.org/W2462749609","https://openalex.org/W2140944036","https://openalex.org/W2354389511","https://openalex.org/W2119869625","https://openalex.org/W2089206135","https://openalex.org/W2007886977","https://openalex.org/W1777074644","https://openalex.org/W2128890580"],"abstract_inverted_index":{"The":[0,18],"quality":[1],"of":[2,103,141,168],"inverse":[3],"synthetic":[4],"aperture":[5,38],"radar":[6],"(ISAR)":[7],"images":[8],"suffers":[9],"seriously":[10],"from":[11,22],"the":[12,29,33,71,100,112,126,138,146,166,169],"two-dimension":[13],"(2-D)":[14],"resolution":[15],"and":[16,24,36,56,115,129,144,148,158],"noise.":[17],"motion":[19,26,54],"errors":[20],"arising":[21],"translational":[23,120],"rotational":[25],"further":[27],"aggravate":[28],"image":[30,75,152],"defocusing.":[31],"For":[32],"limited":[34],"bandwidth":[35],"short":[37],"(LB-SA)":[39],"signal,":[40],"this":[41,62,108],"letter":[42],"proposes":[43],"a":[44,64,81,86,92],"novel":[45],"2-D":[46,72],"joint":[47,53],"super-resolution":[48],"(2D-JSR)":[49],"ISAR":[50,74,151],"imaging":[51],"with":[52,85],"compensation":[55,135],"azimuth":[57,127],"scaling":[58,128],"(JMCAS)":[59],"algorithm.":[60,171],"In":[61,90],"technique,":[63],"2D-JSR":[65,142],"signal":[66],"model":[67],"is":[68,96],"established,":[69],"enabling":[70],"high-resolution":[73,150],"to":[76,98,164],"be":[77,154],"generated":[78],"by":[79,119],"solving":[80],"sparsity-driven":[82],"optimization":[83],"problem":[84],"modified":[87],"quasi-Newton":[88],"solver.":[89],"addition,":[91],"new":[93],"JMCAS":[94],"algorithm":[95,109],"developed":[97],"enhance":[99],"focusing":[101],"performance":[102],"image.":[104],"Not":[105],"only":[106],"can":[107,123,153],"jointly":[110],"correct":[111],"range":[113,130],"shift":[114],"phase":[116,132],"error":[117,133],"caused":[118],"motion,":[121],"it":[122],"also":[124],"complete":[125],"spatial-variant":[131],"(RSVPE)":[134],"simultaneously.":[136],"Through":[137],"iterative":[139],"processing":[140],"reconstruction":[143],"JMCAS,":[145],"well-focused":[147],"scaled":[149],"obtained.":[155],"Both":[156],"simulated":[157],"real":[159],"data":[160],"experiments":[161],"are":[162],"provided":[163],"verify":[165],"effectiveness":[167],"proposed":[170]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
