{"id":"https://openalex.org/W2781891981","doi":"https://doi.org/10.1109/tgrs.2018.2852302","title":"DeepDetect: A Cascaded Region-Based Densely Connected Network for Seismic Event Detection","display_name":"DeepDetect: A Cascaded Region-Based Densely Connected Network for Seismic Event Detection","publication_year":2018,"publication_date":"2018-08-02","ids":{"openalex":"https://openalex.org/W2781891981","doi":"https://doi.org/10.1109/tgrs.2018.2852302","mag":"2781891981"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2852302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2852302","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1709.07943","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101567642","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0002-0396-7714"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Wu","raw_affiliation_strings":["Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA"],"raw_orcid":"https://orcid.org/0000-0002-0396-7714","affiliations":[{"raw_affiliation_string":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001857687","display_name":"Youzuo Lin","orcid":"https://orcid.org/0000-0001-7337-6760"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youzuo Lin","raw_affiliation_strings":["Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA"],"raw_orcid":"https://orcid.org/0000-0001-7337-6760","affiliations":[{"raw_affiliation_string":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101973692","display_name":"Zheng Zhou","orcid":"https://orcid.org/0000-0002-2444-0137"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Zhou","raw_affiliation_strings":["Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007233269","display_name":"David Bolton","orcid":"https://orcid.org/0000-0003-2428-1743"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Chas Bolton","raw_affiliation_strings":["Department of Geosciences, Penn State University, University Park, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2428-1743","affiliations":[{"raw_affiliation_string":"Department of Geosciences, Penn State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689700","display_name":"Ji Liu","orcid":"https://orcid.org/0000-0002-0059-4588"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji Liu","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072125670","display_name":"Paul A. Johnson","orcid":"https://orcid.org/0000-0002-0927-4003"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Johnson","raw_affiliation_strings":["Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA"],"raw_orcid":"https://orcid.org/0000-0002-0927-4003","affiliations":[{"raw_affiliation_string":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":13.2941,"has_fulltext":false,"cited_by_count":143,"citation_normalized_percentile":{"value":0.98882841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"57","issue":"1","first_page":"62","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9966999888420105,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8063359260559082},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6944147944450378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5967087745666504},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5912667512893677},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5311167240142822},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5096607208251953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5015811920166016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4716973304748535},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4653162956237793},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4207971692085266},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4017370939254761},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3761045038700104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09753862023353577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063359260559082},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6944147944450378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5967087745666504},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5912667512893677},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5311167240142822},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5096607208251953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5015811920166016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4716973304748535},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4653162956237793},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4207971692085266},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4017370939254761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3761045038700104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09753862023353577},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2018.2852302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2852302","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"},{"id":"pmh:oai:arXiv.org:1709.07943","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.07943","pdf_url":"https://arxiv.org/pdf/1709.07943","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:osti.gov:1842372","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1842372","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1709.07943","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.07943","pdf_url":"https://arxiv.org/pdf/1709.07943","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332353","display_name":"Office of Fossil Energy","ror":"https://ror.org/03ery9d53"},{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1970831581","https://openalex.org/W1973655566","https://openalex.org/W1981081009","https://openalex.org/W2018101308","https://openalex.org/W2075697433","https://openalex.org/W2080447864","https://openalex.org/W2102605133","https://openalex.org/W2102919512","https://openalex.org/W2113290770","https://openalex.org/W2132483175","https://openalex.org/W2132547391","https://openalex.org/W2133227149","https://openalex.org/W2134510195","https://openalex.org/W2158396349","https://openalex.org/W2163605009","https://openalex.org/W2170476175","https://openalex.org/W2194775991","https://openalex.org/W2235252241","https://openalex.org/W2252531811","https://openalex.org/W2271840356","https://openalex.org/W2315582328","https://openalex.org/W2328759375","https://openalex.org/W2337622229","https://openalex.org/W2398851514","https://openalex.org/W2412782625","https://openalex.org/W2490270993","https://openalex.org/W2541674938","https://openalex.org/W2550880431","https://openalex.org/W2560023338","https://openalex.org/W2598666589","https://openalex.org/W2613718673","https://openalex.org/W2620661538","https://openalex.org/W2630837129","https://openalex.org/W2755380645","https://openalex.org/W2768991495","https://openalex.org/W2962835968","https://openalex.org/W2963410064","https://openalex.org/W2963446712","https://openalex.org/W4240997084","https://openalex.org/W6620707391","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6677082149","https://openalex.org/W6679740073","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6722946945","https://openalex.org/W6730342312"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2949096641","https://openalex.org/W2969228573","https://openalex.org/W2970686063","https://openalex.org/W4320729701"],"abstract_inverted_index":{"Automatic":[0],"event":[1,112],"detection":[2,11,53,74,96,184,231],"from":[3,81,93,200,241],"time":[4,243],"series":[5,244],"signals":[6],"has":[7,59],"broad":[8],"applications.":[9,248],"Traditional":[10],"methods":[12,26,232],"detect":[13,79],"events":[14,80,141,175,240],"primarily":[15],"by":[16],"the":[17,49,87,108,115,119,167,183,192,196,201,215,242],"use":[18,162],"of":[19,51,90,110,169,217],"similarity":[20],"and":[21,30,44,206,210],"correlation":[22],"in":[23,54,142,246],"data.":[24],"Those":[25],"can":[27,233],"be":[28,235],"inefficient":[29],"yield":[31,224],"low":[32],"accuracy.":[33,226],"In":[34,47,67],"recent":[35],"years,":[36],"machine":[37],"learning":[38],"techniques":[39,223],"have":[40],"revolutionized":[41],"many":[42],"sciences":[43],"engineering":[45],"domains.":[46],"particular,":[48],"performance":[50],"object":[52,95],"a":[55,72,131,157,187],"2-D":[56,94],"image":[57],"data":[58,198,245],"significantly":[60],"improved":[61],"due":[62],"to":[63,78,97,138,149],"deep":[64],"neural":[65,136],"networks.":[66],"this":[68],"paper,":[69],"we":[70,129,161,180,194,211],"develop":[71],"deep-learning-based":[73,230],"method,":[75],"called":[76],"\u201cDeepDetect,\u201d":[77],"seismic":[82,197],"signals.":[83],"We":[84,219],"find":[85],"that":[86,107,118,221],"direct":[88],"adaptation":[89],"similar":[91],"ideas":[92],"our":[98,170,222,228],"problem":[99,185],"faces":[100],"two":[101],"challenges.":[102],"The":[103],"first":[104],"challenge":[105],"is":[106,117],"duration":[109],"earthquake":[111,140],"varies":[113],"significantly;":[114],"other":[116],"proposals":[120],"generated":[121,199],"are":[122,176],"temporally":[123],"correlated.":[124],"To":[125,155,190],"address":[126],"these":[127],"challenges,":[128],"propose":[130],"novel":[132,229],"cascaded":[133],"region-based":[134],"convolutional":[135],"network":[137],"capture":[139],"different":[143],"sizes":[144],"while":[145],"incorporating":[146],"contextual":[147],"information":[148],"enrich":[150],"features":[151],"for":[152,238],"each":[153],"proposal.":[154],"achieve":[156],"better":[158],"generalization":[159],"performance,":[160,193],"densely":[163],"connected":[164],"blocks":[165],"as":[166,186],"backbone":[168],"network.":[171],"Because":[172],"some":[173],"positive":[174],"not":[177],"correctly":[178],"annotated,":[179],"further":[181],"formulate":[182],"learning-from-noise":[188],"problem.":[189],"verify":[191],"employ":[195],"Pennsylvania":[202],"State":[203],"University":[204],"Rock":[205],"Sediment":[207],"Mechanics":[208],"Laboratory,":[209],"acquire":[212],"labels":[213],"with":[214],"help":[216],"experts.":[218],"show":[220],"high":[225],"Therefore,":[227],"potentially":[234],"powerful":[236],"tools":[237],"identifying":[239],"various":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":3}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2018-01-12T00:00:00"}
