{"id":"https://openalex.org/W4409640971","doi":"https://doi.org/10.1109/tgrs.2025.3562813","title":"An Intelligent First-Arrival Picking Method of Microseismic Signals Based on the Small Sample Expansion","display_name":"An Intelligent First-Arrival Picking Method of Microseismic Signals Based on the Small Sample Expansion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409640971","doi":"https://doi.org/10.1109/tgrs.2025.3562813"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3562813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3562813","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/A5118983870","display_name":"Wenxuan Huang","orcid":"https://orcid.org/0009-0001-9656-813X"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenxuan Huang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074580292","display_name":"Guanqun Sheng","orcid":"https://orcid.org/0000-0002-3435-825X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanqun Sheng","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000147","display_name":"Xingong Tang","orcid":"https://orcid.org/0000-0002-6583-2655"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingong Tang","raw_affiliation_strings":["School of Geophysics and Petroleum Resources, Yangtze University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Petroleum Resources, Yangtze University, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014532726","display_name":"Kai Ma","orcid":"https://orcid.org/0000-0001-5432-1166"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ma","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101944838","display_name":"Jingyi Lu","orcid":"https://orcid.org/0000-0003-2253-5164"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Lu","raw_affiliation_strings":["School of Water Resources and Environment, China University of Geosciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Water Resources and Environment, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004093770","display_name":"Hang Sun","orcid":"https://orcid.org/0000-0002-3460-9354"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Sun","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5118983870"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0361287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9997000098228455,"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":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"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":0.9958999752998352,"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":0.7719200849533081},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6229589581489563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5776442885398865},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4406253397464752},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42122164368629456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33702901005744934},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.33360880613327026}],"concepts":[{"id":"https://openalex.org/C7266685","wikidata":"https://www.wikidata.org/wiki/Q1303250","display_name":"Microseism","level":2,"score":0.7719200849533081},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6229589581489563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5776442885398865},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4406253397464752},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42122164368629456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33702901005744934},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.33360880613327026},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3562813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3562813","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":[],"awards":[{"id":"https://openalex.org/G5705147280","display_name":null,"funder_award_id":"42274087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7393566294","display_name":null,"funder_award_id":"2025AFD289","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G7708392916","display_name":null,"funder_award_id":"42204111","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/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1574447377","https://openalex.org/W1832693441","https://openalex.org/W1903029394","https://openalex.org/W1981903823","https://openalex.org/W2031940127","https://openalex.org/W2049552294","https://openalex.org/W2106211018","https://openalex.org/W2132083787","https://openalex.org/W2137983211","https://openalex.org/W2194775991","https://openalex.org/W2286736071","https://openalex.org/W2297444081","https://openalex.org/W2315845954","https://openalex.org/W2317140119","https://openalex.org/W2318720060","https://openalex.org/W2323614265","https://openalex.org/W2353015126","https://openalex.org/W2502312327","https://openalex.org/W2521193545","https://openalex.org/W2560023338","https://openalex.org/W2593414223","https://openalex.org/W2794417179","https://openalex.org/W2884436604","https://openalex.org/W2890345008","https://openalex.org/W2892130940","https://openalex.org/W2903672914","https://openalex.org/W2912913790","https://openalex.org/W2950752056","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963446712","https://openalex.org/W2963953565","https://openalex.org/W3034090122","https://openalex.org/W3036939155","https://openalex.org/W3046473778","https://openalex.org/W3046859104","https://openalex.org/W3047855151","https://openalex.org/W3090377106","https://openalex.org/W3091203820","https://openalex.org/W3096831136","https://openalex.org/W3119424093","https://openalex.org/W3175333889","https://openalex.org/W3197955373","https://openalex.org/W3209396322","https://openalex.org/W3213940997","https://openalex.org/W4286216737","https://openalex.org/W4312420699","https://openalex.org/W4394002266","https://openalex.org/W6631190155","https://openalex.org/W6718379498","https://openalex.org/W6724804524","https://openalex.org/W6766150548","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W4211018995","https://openalex.org/W2126967451","https://openalex.org/W2031302457","https://openalex.org/W2144325169","https://openalex.org/W2065755596","https://openalex.org/W4394774899","https://openalex.org/W2365313582","https://openalex.org/W2026548759","https://openalex.org/W3150551298","https://openalex.org/W2358889275"],"abstract_inverted_index":{"An":[0],"accurate":[1,34],"and":[2,24,35,55,60,95,180,211],"efficient":[3,36],"first":[4,65,75,149,185,234],"arrival":[5,66,76,196,235],"picking":[6,44,67,77,197,236],"method":[7,78,219],"of":[8,29,63,68,79,111,127,132,151,184,187,194,203,237],"microseismic":[9,16,30,37,51,69,80,100,113,121,152,190,209,213,238],"signals":[10,31,81,101,114],"is":[11,104,144],"essential":[12],"for":[13,99,207,233],"improving":[14],"the":[15,58,61,64,120,130,133,148,156,162,167,182,195,201,217,227],"recording":[17],"processing":[18,39],"performance.":[19],"However,":[20],"weak":[21],"seismic":[22],"magnitude":[23],"low":[25,177,188,205],"signal-to-noise":[26],"ratio":[27],"(SNR)":[28],"make":[32],"highly":[33],"signal":[38,43,52],"challenging":[40],"when":[41],"traditional":[42],"methods":[45,232],"are":[46],"used.":[47],"Therefore,":[48],"to":[49,106,118,146,226],"use":[50],"features":[53],"effectively":[54],"improve":[56,181],"both":[57],"accuracy":[59,183],"efficiency":[62],"signals,":[70],"this":[71],"paper":[72],"proposes":[73],"a":[74,88,108,124,176,204,222],"based":[82],"on":[83],"deep":[84,230],"learning.":[85],"In":[86],"addition,":[87],"generative":[89],"adversarial":[90],"network":[91,142,163],"with":[92],"latent":[93],"space":[94],"adaptive":[96],"layer-instance":[97],"normalization":[98],"generation":[102],"(G-LA-MSG)":[103],"used":[105,229],"generate":[107],"large":[109],"number":[110,126],"effective":[112],"under":[115,200],"unsupervised":[116],"conditions":[117],"expand":[119],"data":[122,169],"having":[123],"limited":[125],"samples.":[128],"On":[129],"basis":[131],"sample":[134],"expansion,":[135],"an":[136],"AND-OR":[137,157],"grammar":[138,158],"pyramid":[139],"scene":[140],"parsing":[141],"(AOG-PSPNet)":[143],"designed":[145],"select":[147],"arrivals":[150,186],"signals.":[153,191,239],"By":[154],"adopting":[155],"block":[159],"(AOGBlock)":[160],"structure,":[161],"can":[164,220],"fully":[165],"extract":[166],"sequence":[168],"features,":[170],"achieve":[171,221],"good":[172],"SNR":[173,178,189,206],"separation":[174],"in":[175],"environment,":[179],"The":[192],"results":[193],"experiments":[198],"conducted":[199],"condition":[202],"synthetic":[208],"records":[210,214],"real":[212],"show":[215],"that":[216],"proposed":[218],"superior":[223],"performance":[224],"compared":[225],"commonly":[228],"learning-based":[231]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}