{"id":"https://openalex.org/W3161239486","doi":"https://doi.org/10.1109/tgrs.2020.3030324","title":"Training a Seismogram Discriminator Based on ResNet","display_name":"Training a Seismogram Discriminator Based on ResNet","publication_year":2021,"publication_date":"2021-07-21","ids":{"openalex":"https://openalex.org/W3161239486","doi":"https://doi.org/10.1109/tgrs.2020.3030324","mag":"3161239486"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3030324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3030324","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/A5071871823","display_name":"Huiyu Zhu","orcid":"https://orcid.org/0000-0003-4448-7351"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiyu Zhu","raw_affiliation_strings":["School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019625349","display_name":"Mengyao Sun","orcid":"https://orcid.org/0000-0002-4911-3861"},"institutions":[{"id":"https://openalex.org/I4210158984","display_name":"National Supercomputing Center in Wuxi","ror":"https://ror.org/04ypjrs34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210158984"]},{"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":"Mengyao Sun","raw_affiliation_strings":["National Supercomputing Center, Wuxi, China","Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputing Center, Wuxi, China","institution_ids":["https://openalex.org/I4210158984"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031545295","display_name":"Haohuan Fu","orcid":"https://orcid.org/0000-0002-6982-2235"},"institutions":[{"id":"https://openalex.org/I4210158984","display_name":"National Supercomputing Center in Wuxi","ror":"https://ror.org/04ypjrs34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210158984"]},{"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":"Haohuan Fu","raw_affiliation_strings":["National Supercomputing Center, Wuxi, China","Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputing Center, Wuxi, China","institution_ids":["https://openalex.org/I4210158984"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033897574","display_name":"Nianmao Du","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianmao Du","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604078","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-0530-3954"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071871823"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.8199,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87666329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"59","issue":"8","first_page":"7076","last_page":"7085"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.9951000213623047,"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/discriminator","display_name":"Discriminator","score":0.9187653064727783},{"id":"https://openalex.org/keywords/seismogram","display_name":"Seismogram","score":0.895147442817688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6482269763946533},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5343118906021118},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.50389164686203},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4785531163215637},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4636465311050415},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.46015316247940063},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44703733921051025},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41362008452415466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3887614607810974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38303014636039734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3620731234550476},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.35913848876953125},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2689901888370514},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14862537384033203},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11353132128715515},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.09874787926673889}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.9187653064727783},{"id":"https://openalex.org/C169744125","wikidata":"https://www.wikidata.org/wiki/Q510375","display_name":"Seismogram","level":2,"score":0.895147442817688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482269763946533},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5343118906021118},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.50389164686203},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4785531163215637},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4636465311050415},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.46015316247940063},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44703733921051025},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41362008452415466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3887614607810974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38303014636039734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3620731234550476},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.35913848876953125},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2689901888370514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14862537384033203},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11353132128715515},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.09874787926673889},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3030324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3030324","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G112481924","display_name":null,"funder_award_id":"2017YFB0202204","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1287143323","display_name":null,"funder_award_id":"2017YFB0202902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1726774817","display_name":null,"funder_award_id":"2017YFA0604500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2377984233","display_name":null,"funder_award_id":"51761135015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3155919324","display_name":null,"funder_award_id":"2018YFC1504001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4446653917","display_name":null,"funder_award_id":"41625017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5527167388","display_name":null,"funder_award_id":"2018M641324","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8503881347","display_name":null,"funder_award_id":"42004100","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320326721","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W937503992","https://openalex.org/W1026270304","https://openalex.org/W1686810756","https://openalex.org/W1832693441","https://openalex.org/W1934410531","https://openalex.org/W2011630633","https://openalex.org/W2054138528","https://openalex.org/W2055278374","https://openalex.org/W2067046464","https://openalex.org/W2067918247","https://openalex.org/W2078496737","https://openalex.org/W2097117768","https://openalex.org/W2122059558","https://openalex.org/W2145752139","https://openalex.org/W2149108264","https://openalex.org/W2163605009","https://openalex.org/W2180748755","https://openalex.org/W2194775991","https://openalex.org/W2207305543","https://openalex.org/W2262633269","https://openalex.org/W2302255633","https://openalex.org/W2337950363","https://openalex.org/W2362526206","https://openalex.org/W2460847425","https://openalex.org/W2761434131","https://openalex.org/W2769340134","https://openalex.org/W2775441490","https://openalex.org/W2801345694","https://openalex.org/W2890406238","https://openalex.org/W2911424749","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2950621961","https://openalex.org/W2957597324","https://openalex.org/W2965605821","https://openalex.org/W2969757788","https://openalex.org/W2979419929","https://openalex.org/W6605395686","https://openalex.org/W6626481562","https://openalex.org/W6637373629","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W4380714744","https://openalex.org/W2387995142","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2964074194","https://openalex.org/W2057775761","https://openalex.org/W2094985717"],"abstract_inverted_index":{"Selecting":[0],"appropriate":[1],"data":[2,18,38,85,173],"of":[3,43,61,99,132,148,175,206],"good":[4,59,159],"quality":[5,60,76,101],"is":[6,24,52,72,79,97,108,167],"the":[7,33,49,57,62,136,143,146,151,184],"primary":[8],"precondition":[9],"for":[10,31,75,83],"conducting":[11],"meaningful":[12],"analysis":[13],"in":[14,21,125,188],"seismological":[15],"research.":[16],"The":[17,106,196],"set":[19,174],"used":[20],"a":[22,29,68,112,117,122,170],"study":[23],"usually":[25],"selected":[26,63],"by":[27,142],"setting":[28],"threshold":[30,50],"searching":[32],"earthquake":[34,134],"catalog":[35,137],"to":[36,156,183],"ensure":[37],"quality,":[39],"such":[40],"as":[41,140],"parameters":[42],"magnitude":[44],"or":[45],"hypocentral":[46],"distance.":[47],"While":[48],"approach":[51],"useful,":[53],"it":[54],"cannot":[55],"guarantee":[56],"consistently":[58],"seismograms.":[64],"For":[65],"that":[66,96,186,199],"reason,":[67],"manual":[69],"checking":[70],"process":[71],"often":[73],"required":[74],"control,":[77],"which":[78],"inefficient":[80],"and":[81,160,193],"fallible":[82],"large":[84],"sets.":[86],"In":[87],"this":[88],"study,":[89],"we":[90],"develop":[91],"an":[92,133,204],"automated":[93],"seismogram":[94,201],"discriminator":[95,107,202],"capable":[98],"selecting":[100],"seismograms":[102],"from":[103,135],"massive":[104],"events.":[105],"created":[109],"based":[110],"on":[111],"machine":[113],"learning":[114],"technique":[115],"using":[116,169],"residual":[118],"neural":[119],"network":[120],"(ResNet),":[121],"well-designed":[123],"architecture":[124],"computer":[126],"image":[127],"recognition.":[128],"Three-component":[129],"seismic":[130,149,162,180],"records":[131,181],"are":[138],"considered":[139],"images":[141,147],"ResNet.":[144],"Using":[145],"records,":[150],"ResNet":[152],"can":[153],"be":[154],"trained":[155],"distinguish":[157],"between":[158,190],"poor":[161],"records.":[163],"This":[164],"discriminatory":[165],"ability":[166],"evaluated":[168],"blind":[171],"testing":[172],"approximately":[176],"20":[177],"000":[178],"three-component":[179],"related":[182],"events":[185],"occurred":[187],"Sichuan":[189],"January":[191],"2014":[192],"May":[194],"2018.":[195],"results":[197],"show":[198],"our":[200],"achieves":[203],"accuracy":[205],"greater":[207],"than":[208],"95%.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}