{"id":"https://openalex.org/W2400774980","doi":"https://doi.org/10.1109/lgrs.2016.2562138","title":"Bayesian Inference for Inversion in Synthetic Aperture Imaging Radiometry","display_name":"Bayesian Inference for Inversion in Synthetic Aperture Imaging Radiometry","publication_year":2016,"publication_date":"2016-05-23","ids":{"openalex":"https://openalex.org/W2400774980","doi":"https://doi.org/10.1109/lgrs.2016.2562138","mag":"2400774980"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2016.2562138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2562138","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/A5101537241","display_name":"Liang Wu","orcid":"https://orcid.org/0000-0002-4405-5594"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Wu","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4405-5594","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063516286","display_name":"Fei Hu","orcid":"https://orcid.org/0000-0003-3625-286X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Hu","raw_affiliation_strings":["School of Electronic Information and Communications, National Key Laboratory of Science and Technology on Multispectral Information Processing, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, National Key Laboratory of Science and Technology on Multispectral Information Processing, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637267","display_name":"Feng He","orcid":"https://orcid.org/0000-0002-0798-1820"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng He","raw_affiliation_strings":["School of Electronic Information and Communications, National Key Laboratory of Science and Technology on Multispectral Information Processing, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, National Key Laboratory of Science and Technology on Multispectral Information Processing, Wuhan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103459352","display_name":"Jun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101537241"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":16.5519,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.98539276,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"8","first_page":"1049","last_page":"1053"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12019","display_name":"Calibration and Measurement Techniques","score":0.9943000078201294,"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9943000078201294,"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":0.9941999912261963,"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"}},{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9887999892234802,"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/inverse-problem","display_name":"Inverse problem","score":0.7661819458007812},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6244561076164246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5676606893539429},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5657622218132019},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5649117827415466},{"id":"https://openalex.org/keywords/radiometry","display_name":"Radiometry","score":0.5382106304168701},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5302868485450745},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.47371071577072144},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.45045405626296997},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.43354976177215576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41018420457839966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29291242361068726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2623496651649475},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.25611746311187744},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07126626372337341}],"concepts":[{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.7661819458007812},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6244561076164246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5676606893539429},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5657622218132019},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5649117827415466},{"id":"https://openalex.org/C87456703","wikidata":"https://www.wikidata.org/wiki/Q247760","display_name":"Radiometry","level":2,"score":0.5382106304168701},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5302868485450745},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.47371071577072144},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.45045405626296997},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.43354976177215576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41018420457839966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29291242361068726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2623496651649475},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.25611746311187744},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07126626372337341},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/lgrs.2016.2562138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2562138","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/G1730525449","display_name":null,"funder_award_id":"NSFC61172100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6900357082","display_name":null,"funder_award_id":"HUST 2015QN093","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1968735445","https://openalex.org/W1985690171","https://openalex.org/W2073835183","https://openalex.org/W2121402967","https://openalex.org/W2127104311","https://openalex.org/W2131946362","https://openalex.org/W2149498546","https://openalex.org/W2157349060","https://openalex.org/W2158936099","https://openalex.org/W2163887005","https://openalex.org/W2168245975","https://openalex.org/W2169499397","https://openalex.org/W3046265042","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1829060647","https://openalex.org/W1965977581","https://openalex.org/W2061980133","https://openalex.org/W2077506191","https://openalex.org/W2387685679","https://openalex.org/W2050855072","https://openalex.org/W4298004047","https://openalex.org/W3134728064","https://openalex.org/W2374214022","https://openalex.org/W2347781941"],"abstract_inverted_index":{"The":[0,17],"inverse":[1,68,74],"problem":[2,75],"of":[3,31,51,58,65,83,109,123],"synthetic":[4],"aperture":[5],"imaging":[6],"radiometers":[7],"(SAIRs)":[8],"has":[9],"been":[10],"demonstrated":[11],"to":[12,38,48,61,90],"be":[13,77],"not":[14],"well":[15],"posed.":[16],"regularization":[18,113],"methods":[19],"are":[20,127],"crucial":[21],"for":[22],"providing":[23,54],"unique":[24],"and":[25,93,105,121],"stable":[26],"solutions":[27],"in":[28,88],"the":[29,49,63,72,80,84,101,107,111,119,124],"reconstruction":[30],"radiometric":[32],"brightness":[33],"temperature":[34],"(BT)":[35],"maps.":[36],"Different":[37],"deterministic":[39],"ones,":[40],"a":[41,55],"new":[42],"approach":[43],"is":[44],"presented":[45],"by":[46],"referring":[47],"rule":[50],"Bayesian":[52],"inference,":[53],"probability":[56,81],"model":[57],"regularized":[59],"constraints":[60],"combat":[62],"ill-posedness":[64],"finite-dimensional":[66],"discrete":[67],"problems.":[69],"In":[70],"addition,":[71],"SAIR":[73],"can":[76,99],"converted":[78],"into":[79],"estimation":[82],"reconstructed":[85],"BT.":[86],"Furthermore,":[87],"application":[89],"both":[91],"uniformly":[92],"nonuniformly":[94],"spaced":[95],"arrays,":[96],"our":[97],"method":[98,126],"obtain":[100],"optimal":[102,112],"solution":[103],"adaptively":[104],"avoid":[106],"dilemma":[108],"choosing":[110],"parameter.":[114],"Finally,":[115],"simulation":[116],"results":[117],"illustrating":[118],"effectiveness":[120],"performance":[122],"proposed":[125],"provided.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
