{"id":"https://openalex.org/W2115202923","doi":"https://doi.org/10.1109/tgrs.2010.2086063","title":"Reconstruction From Aperture-Filtered Samples With Application to Scatterometer Image Reconstruction","display_name":"Reconstruction From Aperture-Filtered Samples With Application to Scatterometer Image Reconstruction","publication_year":2010,"publication_date":"2010-12-14","ids":{"openalex":"https://openalex.org/W2115202923","doi":"https://doi.org/10.1109/tgrs.2010.2086063","mag":"2115202923"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2010.2086063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2086063","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/A5102954209","display_name":"Brent A. Williams","orcid":"https://orcid.org/0000-0002-7954-3408"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]},{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brent A. Williams","raw_affiliation_strings":["Electrical and Computer Engineering Department, Brigham Young University, Provo, UT, USA","Jet Propulsion Laboratory, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]},{"raw_affiliation_string":"Jet Propulsion Laboratory, Pasadena, CA, USA","institution_ids":["https://openalex.org/I1334627681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079925208","display_name":"David G. Long","orcid":"https://orcid.org/0000-0002-1852-3972"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David G. Long","raw_affiliation_strings":["Electrical and Computer Engineering Department, Brigham Young University, Provo, UT, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102954209"],"corresponding_institution_ids":["https://openalex.org/I100005738","https://openalex.org/I1334627681"],"apc_list":null,"apc_paid":null,"fwci":2.3686,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.87871659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"49","issue":"5","first_page":"1663","last_page":"1676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scatterometer","display_name":"Scatterometer","score":0.6613042950630188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6516016721725464},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6435973048210144},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5418364405632019},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5363581776618958},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5070741176605225},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.49282267689704895},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4869285821914673},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4750808775424957},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.42951327562332153},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4199278652667999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3845958709716797},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3703218996524811},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20204633474349976},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17443183064460754},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1492103636264801},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.13761186599731445},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09360042214393616},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07533910870552063},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.0693466067314148}],"concepts":[{"id":"https://openalex.org/C2776212561","wikidata":"https://www.wikidata.org/wiki/Q905295","display_name":"Scatterometer","level":3,"score":0.6613042950630188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516016721725464},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6435973048210144},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5418364405632019},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5363581776618958},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5070741176605225},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.49282267689704895},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4869285821914673},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4750808775424957},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.42951327562332153},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4199278652667999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3845958709716797},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3703218996524811},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20204633474349976},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17443183064460754},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1492103636264801},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.13761186599731445},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09360042214393616},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07533910870552063},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0693466067314148},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2010.2086063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2086063","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.391.5936","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.5936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mers.byu.edu/long/papers/TGARS2011MayWilliams.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W18385181","https://openalex.org/W1602659231","https://openalex.org/W1766888123","https://openalex.org/W1976793609","https://openalex.org/W1992856940","https://openalex.org/W1998834184","https://openalex.org/W2040855018","https://openalex.org/W2064336755","https://openalex.org/W2116319366","https://openalex.org/W2118476002","https://openalex.org/W2138836373","https://openalex.org/W2143486631","https://openalex.org/W2147381362","https://openalex.org/W2159479457","https://openalex.org/W2163216133","https://openalex.org/W2169499952","https://openalex.org/W2473769201","https://openalex.org/W2478884216","https://openalex.org/W2613543156","https://openalex.org/W4243886961","https://openalex.org/W6721048756"],"related_works":["https://openalex.org/W1969081089","https://openalex.org/W1967979023","https://openalex.org/W2107692390","https://openalex.org/W2077694017","https://openalex.org/W2753113106","https://openalex.org/W2087312114","https://openalex.org/W2031832834","https://openalex.org/W4386634531","https://openalex.org/W2031629850","https://openalex.org/W2055365636"],"abstract_inverted_index":{"This":[0,91],"paper":[1],"approaches":[2,112],"scatterometer":[3,89,95,118,143],"image":[4,144],"reconstruction":[5,28,40,50,62,71,105,111,145],"as":[6],"the":[7,49,54,59,84,94,104,116,120,125,129,141,153,156,169,174,184,190],"inversion":[8],"of":[9,48,128,158,171,189],"a":[10,76,162,179],"discrete":[11,43],"noisy":[12,65,88],"aperture-filtered":[13,31],"sampling":[14,17,60],"operation.":[15,106],"Aperture-filtered":[16],"is":[18,33,67,80,132,167],"presented":[19],"and":[20,24,35,53,61,109,119,124],"contrasted":[21,36],"with":[22,37,140],"conventional":[23,38,85,110],"irregular":[25],"sampling.":[26],"Discrete":[27],"from":[29,87],"noise-free":[30],"samples":[32,86],"investigated":[34],"continuous":[39],"approaches.":[41],"The":[42,64,107,134,148],"approach":[44,92,136,150],"enables":[45,93],"analytical":[46],"treatment":[47,182],"grid":[51],"resolution":[52,56,127,154],"effective":[55,126],"imposed":[57],"by":[58],"operations.":[63],"case":[66],"also":[68],"explored.":[69],"A":[70],"estimator":[72],"based":[73],"on":[74],"maximum":[75],"posteriori":[77],"(MAP)":[78],"estimation":[79],"proposed":[81],"to":[82,98,115],"recover":[83],"measurements.":[90],"noise":[96],"distribution":[97],"be":[99],"appropriately":[100],"accounted":[101],"for":[102,178],"in":[103],"MAP":[108,135,149],"are":[113],"applied":[114],"SeaWinds":[117],"Advanced":[121],"Wind":[122],"Scatterometer,":[123],"different":[130],"methods":[131],"analyzed.":[133],"produces":[137],"results":[138],"consistent":[139],"well-established":[142],"(SIR)":[146],"algorithm.":[147,192],"significantly":[151],"enhances":[152],"at":[155],"expense":[157],"increased":[159],"noise.":[160],"Although":[161],"detailed":[163],"noise-versus-resolution":[164],"tradeoff":[165],"analysis":[166],"beyond":[168],"scope":[170],"this":[172],"paper,":[173],"new":[175],"framework":[176],"allows":[177],"more":[180],"general":[181],"than":[183],"ad":[185],"hoc":[186],"tuning":[187],"parameters":[188],"SIR":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}