{"id":"https://openalex.org/W4288071720","doi":"https://doi.org/10.1109/tgrs.2022.3194351","title":"Strong Noise-Tolerance Deep Learning Network for Automatic Microseismic Events Classification","display_name":"Strong Noise-Tolerance Deep Learning Network for Automatic Microseismic Events Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4288071720","doi":"https://doi.org/10.1109/tgrs.2022.3194351"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3194351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3194351","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/A5101599294","display_name":"Jian He","orcid":"https://orcid.org/0009-0009-9351-7108"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian He","raw_affiliation_strings":["State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection, Chengdu University of Technology, Chengdu, China","State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection (Chengdu University of Technology), Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection (Chengdu University of Technology), Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076220668","display_name":"Huailiang Li","orcid":"https://orcid.org/0000-0001-8163-2699"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huailiang Li","raw_affiliation_strings":["State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection, Chengdu University of Technology, Chengdu, China","State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection (Chengdu University of Technology), Chengdu, China","Key Laboratory of Earth Exploration and Information Technology (Chengdu University of Technology), Ministry of Education, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection (Chengdu University of Technology), Chengdu, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"Key Laboratory of Earth Exploration and Information Technology (Chengdu University of Technology), Ministry of Education, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003683328","display_name":"Xianguo Tuo","orcid":null},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianguo Tuo","raw_affiliation_strings":["State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection, Chengdu University of Technology, Chengdu, China","State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection (Chengdu University of Technology), Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection (Chengdu University of Technology), Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402576","display_name":"Xiaotao Wen","orcid":"https://orcid.org/0000-0001-9915-8307"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotao Wen","raw_affiliation_strings":["Key Laboratory of Earth Exploration and Information Technology, Chengdu University of Technology, Ministry of Education, Chengdu, China","Key Laboratory of Earth Exploration and Information Technology (Chengdu University of Technology), Ministry of Education, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Earth Exploration and Information Technology, Chengdu University of Technology, Ministry of Education, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"Key Laboratory of Earth Exploration and Information Technology (Chengdu University of Technology), Ministry of Education, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085221524","display_name":"Wenzheng Rong","orcid":null},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzheng Rong","raw_affiliation_strings":["State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection, Chengdu University of Technology, Chengdu, China","State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection (Chengdu University of Technology), Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironmental Protection (Chengdu University of Technology), Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004907553","display_name":"Xin He","orcid":"https://orcid.org/0000-0002-0272-9079"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin He","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101599294"],"corresponding_institution_ids":["https://openalex.org/I31595395"],"apc_list":null,"apc_paid":null,"fwci":1.1936,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82123009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9987000226974487,"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":0.9987000226974487,"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":0.998199999332428,"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9976000189781189,"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/microseism","display_name":"Microseism","score":0.9486367702484131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366451025009155},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6617653369903564},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6498609781265259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5739449858665466},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4699200391769409},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.460561603307724},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44203731417655945},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4301782250404358},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37412768602371216},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14052999019622803},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.12385737895965576},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09588903188705444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07401084899902344}],"concepts":[{"id":"https://openalex.org/C7266685","wikidata":"https://www.wikidata.org/wiki/Q1303250","display_name":"Microseism","level":2,"score":0.9486367702484131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366451025009155},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6617653369903564},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6498609781265259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5739449858665466},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4699200391769409},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.460561603307724},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44203731417655945},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4301782250404358},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37412768602371216},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14052999019622803},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.12385737895965576},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09588903188705444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07401084899902344},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3194351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3194351","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":[{"score":0.5299999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6002413173","display_name":null,"funder_award_id":"41774118","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1970656602","https://openalex.org/W1977835618","https://openalex.org/W2062719692","https://openalex.org/W2092460788","https://openalex.org/W2097117768","https://openalex.org/W2116258620","https://openalex.org/W2140208140","https://openalex.org/W2194775991","https://openalex.org/W2252531811","https://openalex.org/W2510593588","https://openalex.org/W2560194956","https://openalex.org/W2622328732","https://openalex.org/W2625710583","https://openalex.org/W2755380645","https://openalex.org/W2767292437","https://openalex.org/W2773170971","https://openalex.org/W2793888044","https://openalex.org/W2794537117","https://openalex.org/W2802734970","https://openalex.org/W2874528452","https://openalex.org/W2895546528","https://openalex.org/W2897525724","https://openalex.org/W2899651173","https://openalex.org/W2902606144","https://openalex.org/W2910431716","https://openalex.org/W2919115771","https://openalex.org/W2923222994","https://openalex.org/W2931808794","https://openalex.org/W2957350762","https://openalex.org/W2971744928","https://openalex.org/W2987173766","https://openalex.org/W2999565413","https://openalex.org/W3002866353","https://openalex.org/W3005306053","https://openalex.org/W3005579381","https://openalex.org/W3021450946","https://openalex.org/W3033197902","https://openalex.org/W3041261371","https://openalex.org/W3043632085","https://openalex.org/W3046845819","https://openalex.org/W3048160357","https://openalex.org/W3079222797","https://openalex.org/W3083046978","https://openalex.org/W3089592947","https://openalex.org/W3102041920","https://openalex.org/W3102755745","https://openalex.org/W3128417835","https://openalex.org/W3133530565","https://openalex.org/W3133835018","https://openalex.org/W3154585073","https://openalex.org/W3155131285","https://openalex.org/W3158298132","https://openalex.org/W3169566511","https://openalex.org/W6637373629","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4312200629","https://openalex.org/W4223943233","https://openalex.org/W4309045103","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W4299487748","https://openalex.org/W3164822677","https://openalex.org/W2773120646","https://openalex.org/W3135297126","https://openalex.org/W3208028783"],"abstract_inverted_index":{"Identifying":[0],"useful":[1],"microseismic":[2,30,48,55,65,108],"events":[3],"is":[4],"one":[5],"of":[6,28,40,45,63,70],"the":[7,25,41,54,64,68,71,75,94,106,118,130,145,159],"key":[8],"steps":[9],"in":[10],"monitoring":[11],"tunnel":[12],"rockbursts.":[13],"Here,":[14],"we":[15,57],"propose":[16],"a":[17,122,135,139,163],"strong":[18],"noise-tolerance":[19,127],"deep":[20],"learning":[21],"(SNTDL)":[22],"network":[23,43,120,147,161],"for":[24],"automatic":[26],"classification":[27,153],"noisy":[29],"events.":[31],"The":[32,114],"training":[33],"set,":[34,36],"validation":[35],"and":[37,78,101,125],"test":[38],"set":[39],"SNTDL":[42,72,119,146],"consist":[44],"27,989":[46],"unfiltered":[47],"recordings.":[49],"First,":[50],"to":[51,83,134],"comprehensively":[52],"characterize":[53],"events,":[56],"extract":[58],"10":[59],"weakly":[60],"correlated":[61],"features":[62],"recordings":[66,109],"as":[67],"input":[69],"network.":[73],"Then,":[74],"skip":[76],"connection":[77],"concatenation":[79],"structure":[80],"are":[81,103],"added":[82],"this":[84],"network,":[85],"which":[86,155],"can":[87,148],"further":[88,156],"enhances":[89],"its":[90],"generalization":[91,165],"ability.":[92],"Additionally,":[93],"SNTDL,":[95],"AlexNet,":[96],"Inception,":[97],"Visual":[98],"Geometry":[99],"Group,":[100],"ResNet":[102],"compared":[104],"using":[105],"synthetic":[107],"with":[110],"different":[111,140],"signal-noise":[112],"ratios.":[113],"results":[115],"demonstrate":[116],"that":[117,144,158],"has":[121,162],"higher":[123],"accuracy":[124],"stronger":[126],"capability":[128],"than":[129],"other":[131],"approaches.":[132],"Application":[133],"dataset":[136],"collected":[137],"from":[138],"construction":[141],"environment":[142],"confirms":[143],"still":[149],"achieve":[150],"an":[151],"accurate":[152],"result,":[154],"verifies":[157],"proposed":[160],"reliable":[164],"performance.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}