{"id":"https://openalex.org/W2911812568","doi":"https://doi.org/10.1109/tgrs.2019.2892471","title":"High-Resolution and Wide-Swath SAR Imaging via Poisson Disk Sampling and Iterative Shrinkage Thresholding","display_name":"High-Resolution and Wide-Swath SAR Imaging via Poisson Disk Sampling and Iterative Shrinkage Thresholding","publication_year":2019,"publication_date":"2019-02-09","ids":{"openalex":"https://openalex.org/W2911812568","doi":"https://doi.org/10.1109/tgrs.2019.2892471","mag":"2911812568"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2892471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2892471","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/A5100435425","display_name":"Xiaoyu Yang","orcid":"https://orcid.org/0000-0003-3437-8207"},"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":true,"raw_author_name":"Xiaoyu Yang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, 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":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778202","display_name":"Jinping Sun","orcid":"https://orcid.org/0000-0002-7184-5057"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinping Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345786","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-5216-3181"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065367615","display_name":"Xiang\u2010Gen Xia","orcid":"https://orcid.org/0000-0002-5599-7683"},"institutions":[{"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":["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"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100435425"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.967,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92881907,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"57","issue":"7","first_page":"4692","last_page":"4704"},"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":0.9998000264167786,"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":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.7341740131378174},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6628099083900452},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6041468977928162},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.6028719544410706},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5584654808044434},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5158421397209167},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.47393161058425903},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.473450630903244},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.461712121963501},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4598264694213867},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.42628777027130127},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4229919910430908},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4180009663105011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40152645111083984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37348276376724243},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2568688988685608},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21361306309700012},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15568765997886658},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14888259768486023},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11054953932762146},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0875231921672821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341740131378174},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6628099083900452},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6041468977928162},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.6028719544410706},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5584654808044434},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5158421397209167},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.47393161058425903},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.473450630903244},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.461712121963501},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4598264694213867},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.42628777027130127},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4229919910430908},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4180009663105011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40152645111083984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37348276376724243},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2568688988685608},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21361306309700012},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15568765997886658},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14888259768486023},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11054953932762146},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0875231921672821},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2892471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2892471","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":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"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":45,"referenced_works":["https://openalex.org/W357677209","https://openalex.org/W1549695243","https://openalex.org/W1965744692","https://openalex.org/W1973503417","https://openalex.org/W1985053641","https://openalex.org/W2012300893","https://openalex.org/W2017157697","https://openalex.org/W2026584598","https://openalex.org/W2046731301","https://openalex.org/W2047042135","https://openalex.org/W2048881887","https://openalex.org/W2050826786","https://openalex.org/W2052660741","https://openalex.org/W2052862999","https://openalex.org/W2063870433","https://openalex.org/W2068827691","https://openalex.org/W2082476922","https://openalex.org/W2091256848","https://openalex.org/W2097973875","https://openalex.org/W2099944953","https://openalex.org/W2100556411","https://openalex.org/W2104266187","https://openalex.org/W2107664115","https://openalex.org/W2111684260","https://openalex.org/W2115706991","https://openalex.org/W2120024360","https://openalex.org/W2123023890","https://openalex.org/W2123693211","https://openalex.org/W2129610215","https://openalex.org/W2132282325","https://openalex.org/W2133665775","https://openalex.org/W2140122025","https://openalex.org/W2142739351","https://openalex.org/W2145096794","https://openalex.org/W2145781390","https://openalex.org/W2153935912","https://openalex.org/W2155473288","https://openalex.org/W2165614718","https://openalex.org/W2255415809","https://openalex.org/W2296616510","https://openalex.org/W2321585011","https://openalex.org/W2963322354","https://openalex.org/W3214953536","https://openalex.org/W4237407156","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W1500996803","https://openalex.org/W2081608853","https://openalex.org/W2788446302","https://openalex.org/W2071732377","https://openalex.org/W1526881856","https://openalex.org/W2356666806","https://openalex.org/W2315093958","https://openalex.org/W1997066351","https://openalex.org/W2362083308","https://openalex.org/W2801332561"],"abstract_inverted_index":{"Since":[0],"the":[1,14,23,27,40,47,69,84,90,100,106,114,125,129,134,143,148,171,174],"width":[2],"of":[3,6,61,71,128,173],"range":[4,28,115],"swath":[5,29,52,112],"synthetic":[7],"aperture":[8],"radar":[9],"(SAR)":[10],"is":[11,97,120],"restricted":[12],"by":[13,123],"pulse":[15],"repetition":[16],"frequency,":[17],"there":[18],"exists":[19],"a":[20,32],"tradeoff":[21],"between":[22,92],"azimuth":[24,85],"resolution":[25,49],"and":[26,50,63,75,133,154,164],"width.":[30],"As":[31],"result,":[33],"conventional":[34],"SAR":[35,65,110,145,156,168],"imaging":[36,66,111,118,146,157],"methods":[37],"based":[38,67],"on":[39,68,166],"Nyquist":[41,101],"sampling":[42,74,81,102],"theorem":[43],"can":[44,87,151],"hardly":[45],"achieve":[46],"high":[48],"wide":[51],"simultaneously.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"propose":[58],"an":[59,138],"algorithm":[60,132],"high-resolution":[62,153],"wide-swath":[64,155],"combination":[70],"Poisson":[72,79],"disk":[73,80],"iterative":[76,139],"shrinkage":[77,135],"thresholding.":[78],"adopted":[82],"in":[83,113,137],"direction":[86],"ensure":[88],"that":[89],"interval":[91],"any":[93],"two":[94],"adjacent":[95],"pulses":[96],"longer":[98],"than":[99],"interval,":[103],"which":[104],"provides":[105],"potential":[107],"to":[108],"widen":[109],"direction.":[116],"The":[117],"formation":[119],"carried":[121],"out":[122],"performing":[124],"inverse":[126],"operator":[127],"chirp":[130],"scaling":[131],"thresholding":[136],"fashion.":[140],"Compared":[141],"with":[142,159],"existing":[144],"methods,":[147],"proposed":[149,175],"method":[150],"realize":[152],"simultaneously":[158],"affordable":[160],"computational":[161],"cost.":[162],"Simulations":[163],"experiments":[165],"real":[167],"data":[169],"demonstrate":[170],"effectiveness":[172],"method.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}