{"id":"https://openalex.org/W2791943215","doi":"https://doi.org/10.1109/vcip.2017.8305098","title":"Auto-flag the baseline for Mingantu Ultrawide Spectral Radioheliograph with LSTM","display_name":"Auto-flag the baseline for Mingantu Ultrawide Spectral Radioheliograph with LSTM","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2791943215","doi":"https://doi.org/10.1109/vcip.2017.8305098","mag":"2791943215"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5044959745","display_name":"Jun Cheng","orcid":"https://orcid.org/0000-0003-1786-6188"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Cheng","raw_affiliation_strings":["Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647349","display_name":"Long Xu","orcid":"https://orcid.org/0000-0002-9286-2876"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Xu","raw_affiliation_strings":["Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063045382","display_name":"Xuexin Yu","orcid":"https://orcid.org/0009-0001-8151-1210"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuexin Yu","raw_affiliation_strings":["Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102013242","display_name":"Linjie Chen","orcid":"https://orcid.org/0000-0002-3618-3430"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjie Chen","raw_affiliation_strings":["Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392138","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-9702-4441"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068724865","display_name":"Yihua Yan","orcid":"https://orcid.org/0000-0002-7106-6029"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihua Yan","raw_affiliation_strings":["Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Solar Activity, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044959745"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.3527,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70571281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"292","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10818","display_name":"Astrophysics and Cosmic Phenomena","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11405","display_name":"Geophysics and Gravity Measurements","score":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.8379656076431274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7149502038955688},{"id":"https://openalex.org/keywords/flagging","display_name":"Flagging","score":0.6362738609313965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5994287729263306},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5069049000740051},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5035673975944519},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4838749170303345},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.46407535672187805},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4602033793926239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41641420125961304},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4138493537902832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16756024956703186},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1507178544998169},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07695344090461731}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8379656076431274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7149502038955688},{"id":"https://openalex.org/C2777548347","wikidata":"https://www.wikidata.org/wiki/Q5456937","display_name":"Flagging","level":2,"score":0.6362738609313965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5994287729263306},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5069049000740051},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5035673975944519},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4838749170303345},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.46407535672187805},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4602033793926239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41641420125961304},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4138493537902832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16756024956703186},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1507178544998169},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07695344090461731},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W140813355","https://openalex.org/W1499466692","https://openalex.org/W1522819581","https://openalex.org/W2019333903","https://openalex.org/W2025743536","https://openalex.org/W2027687872","https://openalex.org/W2064888175","https://openalex.org/W2075883566","https://openalex.org/W2375037300","https://openalex.org/W2747878973","https://openalex.org/W3021434839","https://openalex.org/W3098085792","https://openalex.org/W3104210228","https://openalex.org/W6631407806","https://openalex.org/W6708962315","https://openalex.org/W6776297662"],"related_works":["https://openalex.org/W2946613364","https://openalex.org/W2807886874","https://openalex.org/W1697346018","https://openalex.org/W2113326855","https://openalex.org/W4393527151","https://openalex.org/W611259847","https://openalex.org/W2354785495","https://openalex.org/W642986199","https://openalex.org/W2320858910","https://openalex.org/W174528541"],"abstract_inverted_index":{"Mingantu":[0],"Ultrawide":[1],"Spectral":[2],"Radioheliograph":[3],"(MUSER)":[4],"is":[5,130],"an":[6],"aperture":[7],"synthesis":[8],"telescope":[9],"consisting":[10],"of":[11,14,35,41,69,98,118,136,139,168,171],"a":[12,25,28,42,45,49,58,150,172],"group":[13],"small":[15],"antennas":[16,23],"to":[17,80,85,132],"image":[18,72,91],"the":[19,77,95,134,137,145,166,169],"Sun.":[20],"Each":[21],"two":[22],"form":[24,44],"baseline":[26,43,141],"contributing":[27],"Fourier":[29],"sampling":[30],"point":[31],"for":[32,103,142],"each":[33,140],"time":[34,46,50,60,104,126],"imaging.":[36],"Both":[37],"amplitude":[38],"and":[39,89,147,174],"phase":[40,138,151,170],"sequence":[47,152],"in":[48,57,67],"interval.":[51,61],"Normally,":[52],"amplitude/phase":[53],"should":[54],"vary":[55],"linearly":[56],"short":[59],"However,":[62],"many":[63],"reasons":[64],"would":[65],"result":[66],"errors":[68],"baselines,":[70],"damaging":[71],"quality.":[73,92],"This":[74],"work":[75],"makes":[76],"first":[78],"attempt":[79],"auto-flag":[81],"baselines":[82,88,119],"so":[83],"as":[84,125],"delete":[86],"bad":[87],"improve":[90],"Inspired":[93],"by":[94,122],"big":[96],"success":[97],"long":[99],"short-term":[100],"memory":[101],"(LSTM)":[102],"series":[105],"analysis,":[106],"we":[107],"believe":[108],"that":[109,161],"LSTM":[110,129,162],"could":[111],"accomplish":[112],"auto-flagging":[113],"(a":[114],"binary":[115],"classification":[116],"task)":[117],"even":[120],"better":[121,177],"treating":[123],"them":[124],"sequences.":[127],"Thus,":[128],"employed":[131],"learn":[133],"representation":[135],"classification,":[143],"where":[144],"interaction":[146],"connection":[148],"within":[149],"are":[153],"explored,":[154],"benefiting":[155],"classification.":[156,178],"The":[157],"experimental":[158],"results":[159],"demonstrate":[160],"can":[163],"well":[164],"capture":[165],"characteristics":[167],"baseline,":[173],"thus":[175],"achieves":[176]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
