{"id":"https://openalex.org/W3131495448","doi":"https://doi.org/10.1109/igarss39084.2020.9323217","title":"Artifact-Free RFI Localization Based on Spatial Smoothing Music in Synthetic Aperture Interferometric Radiometers","display_name":"Artifact-Free RFI Localization Based on Spatial Smoothing Music in Synthetic Aperture Interferometric Radiometers","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3131495448","doi":"https://doi.org/10.1109/igarss39084.2020.9323217","mag":"3131495448"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5102755498","display_name":"Tao Zheng","orcid":"https://orcid.org/0000-0003-1169-3423"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tao Zheng","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, Wuhan, China","institution_ids":[]}]},{"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":["National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044198102","display_name":"Hao Hu","orcid":"https://orcid.org/0000-0003-4095-3765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Hu","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, Wuhan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078720742","display_name":"Peng Fu","orcid":"https://orcid.org/0000-0002-3383-009X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Fu","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102755498"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15807906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6423","last_page":"6426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9998999834060669,"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":0.9991000294685364,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9973999857902527,"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/smoothing","display_name":"Smoothing","score":0.8093386888504028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6434439420700073},{"id":"https://openalex.org/keywords/electromagnetic-interference","display_name":"Electromagnetic interference","score":0.5718046426773071},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.566656768321991},{"id":"https://openalex.org/keywords/radiometer","display_name":"Radiometer","score":0.5200614333152771},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.4941003620624542},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.4724695384502411},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.45390570163726807},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4392612874507904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4292662739753723},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.410527765750885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36277806758880615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26009002327919006},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19735968112945557},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12714311480522156},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11189800500869751},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09717139601707458}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.8093386888504028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434439420700073},{"id":"https://openalex.org/C184892835","wikidata":"https://www.wikidata.org/wiki/Q1474513","display_name":"Electromagnetic interference","level":2,"score":0.5718046426773071},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.566656768321991},{"id":"https://openalex.org/C120189094","wikidata":"https://www.wikidata.org/wiki/Q850281","display_name":"Radiometer","level":2,"score":0.5200614333152771},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.4941003620624542},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.4724695384502411},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.45390570163726807},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4392612874507904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4292662739753723},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.410527765750885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36277806758880615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26009002327919006},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19735968112945557},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12714311480522156},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11189800500869751},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09717139601707458},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2121813745","https://openalex.org/W2157349060","https://openalex.org/W2282965086","https://openalex.org/W2292573258","https://openalex.org/W2766383190","https://openalex.org/W2976605006"],"related_works":["https://openalex.org/W2542847180","https://openalex.org/W52840052","https://openalex.org/W3034994054","https://openalex.org/W2805712290","https://openalex.org/W3162837891","https://openalex.org/W2155226960","https://openalex.org/W1687852313","https://openalex.org/W2113351631","https://openalex.org/W3029243869","https://openalex.org/W2502336004"],"abstract_inverted_index":{"Radio-frequency":[0],"interference":[1],"(RFI)":[2],"contaminations":[3],"hamper":[4],"the":[5,52,56,66,69,73,90,96],"retrieval":[6],"of":[7,51,55,68,103],"geophysical":[8],"parameters":[9],"from":[10],"brightness":[11],"temperature":[12],"maps":[13],"in":[14,101],"Synthetic":[15],"Aperture":[16],"Imaging":[17],"Radiometers":[18],"(SAIRs).":[19],"This":[20],"paper":[21],"is":[22,49,62,77,107],"concerned":[23],"with":[24],"RFI":[25,98,117,122],"localization":[26,99],"by":[27],"one":[28],"snapshot,":[29],"and":[30,39,89],"an":[31],"artifact-free":[32],"detection":[33],"algorithm":[34,76],"based":[35],"on":[36,83],"virtual":[37,47],"array":[38,48],"spatial":[40,59],"smoothing":[41,60],"MUSIC":[42,75],"has":[43],"been":[44],"proposed.":[45],"The":[46,58],"composed":[50],"baseline":[53],"coverage":[54],"SAIRs.":[57],"method":[61],"applied":[63],"to":[64,109],"enhance":[65],"rank":[67],"covariance":[70],"matrix.":[71],"And":[72],"classical":[74],"used":[78],"for":[79],"direction":[80],"finding.":[81],"Experiments":[82],"SMOS":[84],"data":[85],"are":[86,114],"carried":[87],"out,":[88],"results":[91],"show":[92],"better":[93],"performance":[94],"than":[95],"existing":[97],"algorithms":[100],"terms":[102],"artifact":[104],"reduction,":[105],"which":[106],"helpful":[108],"make":[110],"sure":[111],"whether":[112],"there":[113],"relative":[115],"weaker":[116],"sources":[118],"around":[119],"a":[120],"strong":[121],"source.":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
