{"id":"https://openalex.org/W4312480434","doi":"https://doi.org/10.1109/tim.2022.3224510","title":"Superresolution Composite SAR Imaging Method by Hierarchical Pattern With Attributed Scattering Priors","display_name":"Superresolution Composite SAR Imaging Method by Hierarchical Pattern With Attributed Scattering Priors","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4312480434","doi":"https://doi.org/10.1109/tim.2022.3224510"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3224510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3224510","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5101841177","display_name":"Yue Yang","orcid":"https://orcid.org/0000-0003-0051-0310"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Yang","raw_affiliation_strings":["Key Laboratory of Electronic and Information Engineering, Southwest Minzu University, Chengdu, China","School of Information and Communication Engineering, University of Electronic Science and Technology of China (Qingshuihe Campus), Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0051-0310","affiliations":[{"raw_affiliation_string":"Key Laboratory of Electronic and Information Engineering, Southwest Minzu University, Chengdu, China","institution_ids":["https://openalex.org/I6645349"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China (Qingshuihe Campus), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067339415","display_name":"Shuliang Gui","orcid":"https://orcid.org/0000-0001-5140-6017"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuliang Gui","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-5140-6017","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026335787","display_name":"Qun Wan","orcid":"https://orcid.org/0000-0002-6607-5422"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Wan","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China (Qingshuihe Campus), Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6607-5422","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China (Qingshuihe Campus), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.4315,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.96914292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"14"},"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":0.9998999834060669,"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":0.9973999857902527,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6268157362937927},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5783188343048096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5562232732772827},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.5542883276939392},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5430189967155457},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.529544472694397},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.47368577122688293},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.458468496799469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43158233165740967},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4315294623374939},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.4262348413467407},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.41963472962379456},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3575062155723572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33330315351486206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2871484160423279},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2637484669685364},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1584281027317047},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13540181517601013},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.11270087957382202},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10711786150932312},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09021583199501038}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6268157362937927},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5783188343048096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5562232732772827},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.5542883276939392},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5430189967155457},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.529544472694397},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.47368577122688293},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.458468496799469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43158233165740967},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4315294623374939},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.4262348413467407},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.41963472962379456},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3575062155723572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33330315351486206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2871484160423279},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2637484669685364},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1584281027317047},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13540181517601013},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.11270087957382202},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10711786150932312},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09021583199501038},{"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/tim.2022.3224510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3224510","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1210156861","display_name":"\u6570\u636e\u9a71\u52a8\u7684\u201c\u4f4e\u5c0f\u6162\u201d\u591a\u76ee\u6807\u5f02\u6e90\u4f20\u611f\u5668\u878d\u5408\u8ddf\u8e2a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62061003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3908639801","display_name":null,"funder_award_id":"2021YFG0192","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"},{"id":"https://openalex.org/G4183791292","display_name":null,"funder_award_id":"2021NQNCZ18","funder_id":"https://openalex.org/F4320330122","funder_display_name":"Southwest Minzu University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330122","display_name":"Southwest Minzu University","ror":null},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2002031427","https://openalex.org/W2018938915","https://openalex.org/W2031388002","https://openalex.org/W2039156452","https://openalex.org/W2041096384","https://openalex.org/W2044938591","https://openalex.org/W2059761475","https://openalex.org/W2063870433","https://openalex.org/W2074898432","https://openalex.org/W2086587667","https://openalex.org/W2122609723","https://openalex.org/W2127952006","https://openalex.org/W2149918662","https://openalex.org/W2156974979","https://openalex.org/W2158672843","https://openalex.org/W2333122909","https://openalex.org/W2363364841","https://openalex.org/W2407940913","https://openalex.org/W2520537062","https://openalex.org/W2551701645","https://openalex.org/W2589263706","https://openalex.org/W2596473454","https://openalex.org/W2600487535","https://openalex.org/W2790279720","https://openalex.org/W2800330205","https://openalex.org/W2803657388","https://openalex.org/W2898796056","https://openalex.org/W2941866915","https://openalex.org/W3011447472","https://openalex.org/W3043885239","https://openalex.org/W3175057150","https://openalex.org/W3192142973","https://openalex.org/W4205338296","https://openalex.org/W4285268393","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W2220129715","https://openalex.org/W4296478327","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2333625343","https://openalex.org/W1960072520","https://openalex.org/W2023776155","https://openalex.org/W2387596242"],"abstract_inverted_index":{"Compared":[0],"with":[1,185],"the":[2,7,20,25,35,46,89,100,104,107,131,154,170,180,186,195,200,216,219],"ideal":[3],"point":[4],"scattering":[5,9,189],"model,":[6],"attributed":[8],"center":[10],"(ASC)":[11],"model":[12,48,57,109,157],"provides":[13],"concise":[14],"and":[15,27,39,146,152,206],"physically":[16,196],"relevant":[17,197],"description":[18],"of":[19,37,136,156,182,202,218],"man-made":[21],"targets,":[22],"such":[23],"as":[24],"vehicles":[26],"ships,":[28],"giving":[29],"an":[30],"efficient":[31],"way":[32],"to":[33,54,62,167,214],"interpret":[34],"measurements":[36],"high-frequency":[38],"wide-angle":[40],"synthetic":[41],"aperture":[42],"radar":[43],"(SAR).":[44],"Since":[45],"ASC":[47,90,108],"is":[49,81],"complicated,":[50],"it":[51],"gives":[52],"rise":[53],"a":[55,63,74,95,161],"high-dimensional":[56],"parameter":[58],"estimation":[59,203],"problem,":[60,70],"leading":[61],"heavy":[64],"computational":[65,101],"burden.":[66],"Aimed":[67],"at":[68],"this":[69,72],"in":[71,87],"article,":[73],"novel":[75],"superresolution":[76,151,172,183],"composite":[77],"SAR":[78],"imaging":[79],"algorithm":[80],"proposed":[82,105,175,220],"based":[83],"on":[84,199],"sparse":[85],"representation,":[86],"which":[88],"attributes":[91,198],"are":[92,115,127,148,212],"estimated":[93,116],"by":[94,160],"hierarchical":[96],"pattern":[97],"for":[98,140,150],"reducing":[99,153],"cost.":[102],"In":[103],"algorithm,":[106],"parameters,":[110],"classified":[111],"into":[112],"three":[113],"categories,":[114],"coarsely":[117],"via":[118],"minimum":[119],"variance":[120],"pursuit":[121],"(MVP).":[122],"Then":[123],"these":[124],"coarse":[125],"estimates":[126],"refined":[128],"jointly":[129],"using":[130],"consensus":[132],"alternating":[133],"direction":[134],"method":[135],"multipliers":[137],"(CADMM)":[138],"optimization":[139],"polarimetric":[141],"measurements.":[142],"The":[143,174],"spectrum":[144],"extrapolation":[145],"replacement":[147],"performed":[149],"impact":[155],"mismatch,":[158],"followed":[159],"fast":[162],"Fourier":[163],"transform":[164],"(FFT)-based":[165],"operation":[166],"efficiently":[168],"obtain":[169],"final":[171],"image.":[173],"approach":[176],"not":[177],"only":[178],"possesses":[179],"ability":[181],"reconstruction":[184],"target":[187],"nonideal":[188],"features\u2019":[190],"enhancement":[191],"but":[192],"also":[193],"offers":[194],"premise":[201],"accuracy":[204],"improvement":[205],"calculation":[207],"capacity":[208],"reduction.":[209],"Extensive":[210],"experiments":[211],"conducted":[213],"corroborate":[215],"effectiveness":[217],"algorithm.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
