{"id":"https://openalex.org/W4285218993","doi":"https://doi.org/10.1109/tgrs.2022.3182991","title":"Microseismic Source Location Using Deep Reinforcement Learning","display_name":"Microseismic Source Location Using Deep Reinforcement Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285218993","doi":"https://doi.org/10.1109/tgrs.2022.3182991"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3182991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3182991","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/A5088532587","display_name":"Qiang Feng","orcid":"https://orcid.org/0000-0002-4731-6761"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Feng","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-4731-6761","affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086673970","display_name":"Liguo Han","orcid":"https://orcid.org/0000-0003-4840-8091"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liguo Han","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034225450","display_name":"Baozhi Pan","orcid":"https://orcid.org/0000-0002-8878-3382"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baozhi Pan","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076763792","display_name":"Binghui Zhao","orcid":"https://orcid.org/0009-0005-3666-8541"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binghui Zhao","raw_affiliation_strings":["College of Geo-Exploration Science and Technology, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geo-Exploration Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088532587"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":2.9142,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92012346,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908000230789185,"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":0.9865999817848206,"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":0.9594849348068237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7828148007392883},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7767943143844604},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7366455793380737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6400285363197327},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6090977787971497},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49664002656936646},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4431506395339966},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4335308074951172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38686639070510864},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33918070793151855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3229447901248932},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.22893232107162476},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.13211655616760254},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12458354234695435}],"concepts":[{"id":"https://openalex.org/C7266685","wikidata":"https://www.wikidata.org/wiki/Q1303250","display_name":"Microseism","level":2,"score":0.9594849348068237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828148007392883},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7767943143844604},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7366455793380737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6400285363197327},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6090977787971497},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49664002656936646},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4431506395339966},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4335308074951172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38686639070510864},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33918070793151855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3229447901248932},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.22893232107162476},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.13211655616760254},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12458354234695435},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/tgrs.2022.3182991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3182991","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":0.75,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G5129787702","display_name":"\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u4e3b\u52a8\u6e90\u4e0e\u88ab\u52a8\u6e90\u5730\u9707\u6570\u636e\u878d\u5408\u4e0e\u76f4\u63a5\u5efa\u6a21\u7814\u7a76","funder_award_id":"42074154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7169917268","display_name":null,"funder_award_id":"42130805","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1997708567","https://openalex.org/W2055798239","https://openalex.org/W2100495367","https://openalex.org/W2140689820","https://openalex.org/W2145339207","https://openalex.org/W2164728330","https://openalex.org/W2176950688","https://openalex.org/W2180716122","https://openalex.org/W2762410434","https://openalex.org/W2765830379","https://openalex.org/W2884858462","https://openalex.org/W2891863585","https://openalex.org/W2910821168","https://openalex.org/W2919115771","https://openalex.org/W2923354344","https://openalex.org/W3008071995","https://openalex.org/W3173493645","https://openalex.org/W3185014703","https://openalex.org/W3207967945","https://openalex.org/W3214113946","https://openalex.org/W4200442472","https://openalex.org/W4214717370","https://openalex.org/W6759896672"],"related_works":["https://openalex.org/W4211018995","https://openalex.org/W3096874164","https://openalex.org/W1985560493","https://openalex.org/W2937181779","https://openalex.org/W2386410636","https://openalex.org/W2357975469","https://openalex.org/W2145363145","https://openalex.org/W1626977535","https://openalex.org/W2341346307","https://openalex.org/W3168977894"],"abstract_inverted_index":{"Locating":[0],"microseismic":[1,10,30,51,121,152],"sources":[2,31,153],"in":[3,9,49,105],"time":[4],"is":[5,61],"a":[6,26,41,64,109],"challenging":[7],"problem":[8,56],"monitoring.":[11],"In":[12],"order":[13],"to":[14,44],"improve":[15],"the":[16,46,50,55,59,69,77,81,88,106,116,120,126,134,138,147],"accuracy":[17],"and":[18,39,86,113,137,155],"efficiency":[19],"of":[20,57,71,79,91,108,119],"locating":[21,29,58,80],"sources,":[22],"this":[23],"paper":[24],"presents":[25],"method":[27,128,149],"for":[28,68,101],"using":[32,129],"deep":[33,72,92,110],"reinforcement":[34,73,93],"learning.":[35,74,94],"We":[36,75],"first":[37],"construct":[38],"train":[40],"convolutional":[42],"autoencoder":[43],"preprocess":[45],"seismic":[47],"records":[48],"waveform":[52],"database.":[53],"Then,":[54],"source":[60,82],"described":[62],"as":[63],"Markov":[65],"decision":[66],"process":[67],"application":[70],"decompose":[76],"task":[78],"into":[83],"three":[84],"subtasks":[85,104],"design":[87],"critical":[89],"elements":[90],"Three":[95],"agents":[96],"independently":[97],"learn":[98],"optimal":[99],"policies":[100],"their":[102],"respective":[103],"framework":[107],"Q-network":[111],"(DQN)":[112],"jointly":[114],"determine":[115],"precise":[117],"location":[118],"source.":[122],"Finally,":[123],"we":[124],"evaluate":[125],"proposed":[127,148],"synthetic":[130],"data":[131],"generated":[132],"from":[133],"Marmousi":[135],"model":[136],"3D":[139],"velocity":[140],"model.":[141],"The":[142],"experiment":[143],"results":[144],"indicate":[145],"that":[146],"can":[150],"locate":[151],"efficiently":[154],"accurately.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}