{"id":"https://openalex.org/W4206181696","doi":"https://doi.org/10.1109/tgrs.2022.3142089","title":"Novel Wavelet Threshold Denoising Method to Highlight the First Break of Noisy Microseismic Recordings","display_name":"Novel Wavelet Threshold Denoising Method to Highlight the First Break of Noisy Microseismic Recordings","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4206181696","doi":"https://doi.org/10.1109/tgrs.2022.3142089"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3142089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3142089","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/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":true,"raw_author_name":"Huailiang Li","raw_affiliation_strings":["State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059791894","display_name":"Jiahao Shi","orcid":"https://orcid.org/0000-0002-6385-2468"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Shi","raw_affiliation_strings":["Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory, Southwest University of Science and Technology, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082224453","display_name":"Linjia Li","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":"Linjia Li","raw_affiliation_strings":["State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, 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/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianguo Tuo","raw_affiliation_strings":["School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083908714","display_name":"Kai Qu","orcid":"https://orcid.org/0000-0002-9331-5241"},"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":"Kai Qu","raw_affiliation_strings":["State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"last","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 Geoenvironment Protection, Chengdu University of Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, 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/A5076220668"],"corresponding_institution_ids":["https://openalex.org/I31595395"],"apc_list":null,"apc_paid":null,"fwci":12.3455,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.99584649,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9997000098228455,"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":0.9970999956130981,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/microseism","display_name":"Microseism","score":0.9231722354888916},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.826179563999176},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.735488772392273},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6898196339607239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6223227977752686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5269913077354431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48631104826927185},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.44932350516319275},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3787972331047058},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13476714491844177},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12291404604911804},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.07929328083992004}],"concepts":[{"id":"https://openalex.org/C7266685","wikidata":"https://www.wikidata.org/wiki/Q1303250","display_name":"Microseism","level":2,"score":0.9231722354888916},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.826179563999176},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.735488772392273},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6898196339607239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6223227977752686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5269913077354431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48631104826927185},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.44932350516319275},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3787972331047058},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13476714491844177},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12291404604911804},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.07929328083992004}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3142089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3142089","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/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":50,"referenced_works":["https://openalex.org/W217518988","https://openalex.org/W1488459051","https://openalex.org/W1632554120","https://openalex.org/W2043150635","https://openalex.org/W2079724595","https://openalex.org/W2081765512","https://openalex.org/W2111896212","https://openalex.org/W2142085250","https://openalex.org/W2186316592","https://openalex.org/W2336215657","https://openalex.org/W2346836781","https://openalex.org/W2369858498","https://openalex.org/W2412205031","https://openalex.org/W2416739439","https://openalex.org/W2542713095","https://openalex.org/W2549155870","https://openalex.org/W2555981623","https://openalex.org/W2560144804","https://openalex.org/W2602807606","https://openalex.org/W2605668928","https://openalex.org/W2751368657","https://openalex.org/W2758816065","https://openalex.org/W2786985122","https://openalex.org/W2792980452","https://openalex.org/W2793985907","https://openalex.org/W2803093208","https://openalex.org/W2893275166","https://openalex.org/W2899651173","https://openalex.org/W2912937999","https://openalex.org/W2920924193","https://openalex.org/W2928275747","https://openalex.org/W2931808794","https://openalex.org/W2963690124","https://openalex.org/W2967639433","https://openalex.org/W2979303910","https://openalex.org/W2993441709","https://openalex.org/W2998394979","https://openalex.org/W3002866353","https://openalex.org/W3009396857","https://openalex.org/W3020613625","https://openalex.org/W3034090122","https://openalex.org/W3086798865","https://openalex.org/W3090377106","https://openalex.org/W3092730755","https://openalex.org/W3094419921","https://openalex.org/W3102755745","https://openalex.org/W3111679652","https://openalex.org/W3148020013","https://openalex.org/W3157357907","https://openalex.org/W6769210707"],"related_works":["https://openalex.org/W2133587243","https://openalex.org/W4206181696","https://openalex.org/W2376043790","https://openalex.org/W2033000528","https://openalex.org/W2541950815","https://openalex.org/W2792520941","https://openalex.org/W2108207814","https://openalex.org/W2875648348","https://openalex.org/W2185227953","https://openalex.org/W2392335408"],"abstract_inverted_index":{"We":[0],"proposed":[1,138],"a":[2,63,78,123],"novel":[3],"wavelet":[4,12,56],"threshold":[5,49],"denoising":[6,88,126],"method":[7,51,120,139],"based":[8,52],"on":[9,53,129],"the":[10,24,30,36,40,55,73,87,92,96,107,110,114,118,130,137,142],"discrete":[11],"transform":[13],"for":[14,90],"noisy":[15,41],"microseismic":[16,31,42,97,132],"recordings.":[17,43,98],"This":[18],"algorithm":[19],"can":[20,121,140],"simultaneously":[21],"suppress":[22],"both":[23],"high-":[25],"and":[26,33,65,113],"low-frequency":[27],"noises":[28],"of":[29,39,95,109],"recordings":[32,133],"further":[34,134],"highlight":[35],"first":[37,93,144],"break":[38,94,145],"First,":[44],"we":[45],"design":[46],"an":[47],"adaptive":[48],"calculation":[50],"all":[54],"coefficients":[57],"in":[58],"different":[59,100],"decomposition":[60],"levels.":[61],"Then,":[62],"continuous":[64],"derivable":[66],"thresholding":[67,81],"function":[68,82],"is":[69,83],"constructed.":[70],"By":[71],"adjusting":[72],"preset":[74],"shape":[75],"adjustment":[76],"parameters,":[77],"more":[79,124,146],"reasonable":[80],"determined":[84],"to":[85,105],"achieve":[86,122],"processing":[89],"highlighting":[91],"Finally,":[99],"comparison":[101],"tests":[102],"are":[103],"performed":[104],"evaluate":[106],"performance":[108],"developed":[111],"method,":[112],"results":[115],"indicate":[116],"that":[117,136],"new":[119],"effective":[125],"result.":[127],"Application":[128],"real":[131],"confirms":[135],"make":[141],"corresponding":[143],"clear.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}