{"id":"https://openalex.org/W2977621768","doi":"https://doi.org/10.1109/taes.2019.2944707","title":"Refocusing of Moving Targets Based on Low-Bit Quantized SAR Data via Parametric Quantized Iterative Hard Thresholding","display_name":"Refocusing of Moving Targets Based on Low-Bit Quantized SAR Data via Parametric Quantized Iterative Hard Thresholding","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2977621768","doi":"https://doi.org/10.1109/taes.2019.2944707","mag":"2977621768"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2019.2944707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2944707","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5100663696","display_name":"Jianghong Han","orcid":"https://orcid.org/0000-0001-6892-323X"},"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":"Jianghong Han","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6892-323X","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438655","display_name":"Gang Li","orcid":"https://orcid.org/0000-0001-9755-2781"},"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":"Gang Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9755-2781","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363146","display_name":"Xiao\u2013Ping Zhang","orcid":"https://orcid.org/0000-0001-5241-0069"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao-Ping Zhang","raw_affiliation_strings":["Ryerson University, Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5241-0069","affiliations":[{"raw_affiliation_string":"Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.3908,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.98274076,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"56","issue":"3","first_page":"2198","last_page":"2211"},"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/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/thresholding","display_name":"Thresholding","score":0.7470802068710327},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7083544731140137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505574584007263},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6396674513816833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5531425476074219},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5214566588401794},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5072786211967468},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49631601572036743},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48926183581352234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2682272791862488},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16329294443130493}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7470802068710327},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7083544731140137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505574584007263},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6396674513816833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5531425476074219},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5214566588401794},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5072786211967468},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49631601572036743},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48926183581352234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2682272791862488},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16329294443130493},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2019.2944707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2944707","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4427687447","display_name":null,"funder_award_id":"61790551","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":41,"referenced_works":["https://openalex.org/W1969191281","https://openalex.org/W1972009708","https://openalex.org/W1986748469","https://openalex.org/W2008382864","https://openalex.org/W2036977160","https://openalex.org/W2048659479","https://openalex.org/W2056210040","https://openalex.org/W2067341384","https://openalex.org/W2090482733","https://openalex.org/W2097520477","https://openalex.org/W2097973875","https://openalex.org/W2098115576","https://openalex.org/W2099773633","https://openalex.org/W2100043046","https://openalex.org/W2100696561","https://openalex.org/W2101961721","https://openalex.org/W2107949992","https://openalex.org/W2110965352","https://openalex.org/W2120024360","https://openalex.org/W2125200549","https://openalex.org/W2125293160","https://openalex.org/W2126421815","https://openalex.org/W2127769464","https://openalex.org/W2128959024","https://openalex.org/W2133751420","https://openalex.org/W2143224046","https://openalex.org/W2148525506","https://openalex.org/W2152446998","https://openalex.org/W2154423986","https://openalex.org/W2159969217","https://openalex.org/W2160042527","https://openalex.org/W2162100037","https://openalex.org/W2164452299","https://openalex.org/W2171012628","https://openalex.org/W2171912497","https://openalex.org/W2248124113","https://openalex.org/W2527747031","https://openalex.org/W2740969390","https://openalex.org/W2963322354","https://openalex.org/W2973481402","https://openalex.org/W6674993476"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2750730210","https://openalex.org/W2116854923","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W2730764323","https://openalex.org/W4233939244","https://openalex.org/W1976727107"],"abstract_inverted_index":{"Low-bit":[0],"quantization":[1],"of":[2,13,38,50,66,69,152,209],"echo":[3,157],"improves":[4],"storage":[5],"and":[6,56,63,109,175],"leads":[7],"to":[8,34,145],"more":[9],"efficient":[10],"downlink":[11],"transmission":[12],"spaceborne":[14],"synthetic":[15],"aperture":[16],"radar":[17,156],"(SAR)":[18],"systems.":[19],"In":[20],"this":[21],"paper,":[22],"a":[23,79,90,125,138,142,159],"new":[24],"parametric":[25,58,85,139,189],"quantized":[26,43,51],"iterative":[27,52,116],"hard":[28,53],"thresholding":[29,54],"(PQIHT)":[30],"algorithm":[31,123,204],"is":[32,76,94,150,168],"proposed":[33,135,203],"refocus":[35],"the":[36,48,57,67,73,99,103,106,111,120,134,155,187,202],"images":[37],"moving":[39,74,160,171,194,210],"targets":[40],"with":[41,89,124,141,162,186,213],"low-bit":[42],"SAR":[44,181],"data,":[45,201],"based":[46,197],"on":[47,177,198],"combination":[49],"(QIHT)":[55],"sparse":[59,80,190],"representation.":[60],"The":[61,87],"blurred":[62],"quantization-error-involved":[64],"subimage":[65],"region":[68],"interest":[70],"(ROI)":[71],"containing":[72],"target":[75,146,161,172,195,211],"represented":[77],"in":[78,114],"fashion":[81],"through":[82],"an":[83,115],"adaptive":[84],"dictionary.":[86],"QIHT":[88,122],"pruned":[91],"searching":[92],"method":[93,136],"performed":[95],"for":[96,170,193],"efficiently":[97],"estimating":[98],"motion-adaptive":[100],"parameter":[101,143],"inside":[102],"dictionary,":[104],"refocusing":[105,196,212],"ROI":[107],"image":[108],"suppressing":[110],"quantization-induced":[112],"error":[113],"way.":[117],"Different":[118],"from":[119,158],"conventional":[121,188],"fixed":[126],"dictionary":[127,140],"that":[128],"can":[129,205],"only":[130],"represent":[131],"stationary":[132],"targets,":[133],"exploits":[137],"related":[144],"motion":[147,164],"status,":[148],"which":[149],"capable":[151],"adaptively":[153],"representing":[154],"unknown":[163],"status":[165],"and,":[166],"therefore,":[167],"suitable":[169],"refocusing.":[173],"Simulations":[174],"experiments":[176],"real":[178],"GF-3":[179],"satellite":[180],"data":[182,216],"demonstrate":[183],"that,":[184],"compared":[185],"representation":[191],"framework":[192],"purely":[199],"precise":[200],"provide":[206],"satisfactory":[207],"quality":[208],"remarkably":[214],"reduced":[215],"volume.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}