{"id":"https://openalex.org/W3033208643","doi":"https://doi.org/10.1109/lgrs.2020.2997339","title":"Construction of Optimal Basic Wavelet via AIDNN and Its Application in Seismic Data Analysis","display_name":"Construction of Optimal Basic Wavelet via AIDNN and Its Application in Seismic Data Analysis","publication_year":2020,"publication_date":"2020-06-04","ids":{"openalex":"https://openalex.org/W3033208643","doi":"https://doi.org/10.1109/lgrs.2020.2997339","mag":"3033208643"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.2997339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.2997339","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5044599355","display_name":"Yajun Tian","orcid":"https://orcid.org/0000-0003-0237-0657"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yajun Tian","raw_affiliation_strings":["National Engineering Laboratory for Offshore Oil Exploration, School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0003-0237-0657","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Offshore Oil Exploration, School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077552109","display_name":"Jinghuai Gao","orcid":"https://orcid.org/0000-0002-0448-8555"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghuai Gao","raw_affiliation_strings":["National Engineering Laboratory for Offshore Oil Exploration, School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-0448-8555","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Offshore Oil Exploration, School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000850153","display_name":"Naihao Liu","orcid":"https://orcid.org/0000-0002-2609-7408"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naihao Liu","raw_affiliation_strings":["National Engineering Laboratory for Offshore Oil Exploration, School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-2609-7408","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Offshore Oil Exploration, School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087101685","display_name":"Daoyu Chen","orcid":"https://orcid.org/0000-0002-3267-3440"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoyu Chen","raw_affiliation_strings":["National Engineering Laboratory for Offshore Oil Exploration, School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-3267-3440","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Offshore Oil Exploration, School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044599355"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.682,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80628521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"18","issue":"7","first_page":"1144","last_page":"1148"},"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":0.9944000244140625,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.9264583587646484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310737729072571},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.6187694072723389},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.611194372177124},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.573346734046936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5164852142333984},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.5094783902168274},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.47437411546707153},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.4685301184654236},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4457743167877197},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4242584705352783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42363640666007996},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"Continuous wavelet transform","score":0.412386417388916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37438029050827026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35549449920654297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2797245383262634},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16597691178321838}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.9264583587646484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310737729072571},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.6187694072723389},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.611194372177124},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.573346734046936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5164852142333984},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.5094783902168274},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.47437411546707153},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.4685301184654236},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4457743167877197},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4242584705352783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42363640666007996},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.412386417388916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37438029050827026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35549449920654297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2797245383262634},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16597691178321838}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2020.2997339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.2997339","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W138165493","https://openalex.org/W1634673677","https://openalex.org/W1658708377","https://openalex.org/W1909397416","https://openalex.org/W1979558037","https://openalex.org/W1989491465","https://openalex.org/W2020921441","https://openalex.org/W2025001368","https://openalex.org/W2027215802","https://openalex.org/W2037773178","https://openalex.org/W2047936535","https://openalex.org/W2053567390","https://openalex.org/W2093132633","https://openalex.org/W2103059554","https://openalex.org/W2166385084","https://openalex.org/W2231858088","https://openalex.org/W2312271653","https://openalex.org/W2326745187","https://openalex.org/W2365276839","https://openalex.org/W2607406448","https://openalex.org/W2902216690","https://openalex.org/W2948107578","https://openalex.org/W2961733437","https://openalex.org/W2967865518","https://openalex.org/W3100579349","https://openalex.org/W3101765447","https://openalex.org/W3109423454","https://openalex.org/W6637205009"],"related_works":["https://openalex.org/W2059234650","https://openalex.org/W2362207432","https://openalex.org/W2085792030","https://openalex.org/W2391053410","https://openalex.org/W2377068990","https://openalex.org/W1918078477","https://openalex.org/W2187477192","https://openalex.org/W2545449688","https://openalex.org/W2127383203","https://openalex.org/W2101997086"],"abstract_inverted_index":{"Continuous":[0],"wavelet":[1,16,21,36,72,94,129,151,155],"transform":[2,156],"(CWT)":[3],"is":[4,22,50,157,209],"an":[5,126],"effective":[6],"tool":[7],"for":[8,26,56,178,211],"seismic":[9,20,32,41,60,93,96,115,120,206,212],"time-frequency":[10],"(TF)":[11],"analysis.":[12],"Selecting":[13],"a":[14,23,70,89,114,194],"matched":[15],"to":[17,52,59,134,172,204],"the":[18,45,77,80,100,118,132,135,142,148,161,166,189,198,205,216],"analyzed":[19],"key":[24],"issue":[25],"accurately":[27],"characterizing":[28,179],"TF":[29,181],"features":[30],"of":[31,165],"data.":[33],"The":[34,84,183],"three-parameter":[35],"(TPW)":[37],"can":[38,123],"match":[39],"different":[40],"wavelets":[42,61,203],"by":[43,75,98,130],"adjusting":[44],"three":[46],"parameters.":[47],"However,":[48],"it":[49,171],"difficult":[51],"select":[53],"appropriate":[54],"parameters":[55,146],"matching":[57,131],"TPW":[58,78,133,143],"in":[62,215],"real":[63],"applications.":[64],"In":[65],"this":[66,109],"letter,":[67],"we":[68,111,122,140,169],"propose":[69],"basic":[71,128,150,202],"construction":[73],"method":[74],"using":[76,99],"and":[79,95,153,163,175,192],"deep":[81,103],"learning":[82],"network.":[83],"proposed":[85,167],"workflow":[86],"first":[87],"builds":[88],"mapping":[90],"relationship":[91],"between":[92],"data":[97,177,213],"alternating":[101],"iterative":[102],"neural":[104],"network":[105],"(AIDNN).":[106],"Based":[107],"on":[108],"relationship,":[110],"then":[112],"estimate":[113],"wavelet.":[116,137],"Using":[117],"estimated":[119],"wavelet,":[121,207],"finally":[124],"construct":[125],"analytical":[127],"extracted":[136],"Note":[138],"that":[139,186],"named":[141],"with":[144,200],"optimal":[145,149],"as":[147],"(OBW),":[152],"its":[154],"OBWT.":[158],"To":[159],"demonstrate":[160],"validity":[162],"effectiveness":[164],"approach,":[168],"apply":[170],"synthetic":[173],"traces":[174],"field":[176],"their":[180],"features.":[182],"results":[184],"show":[185],"OBWT":[187],"preserves":[188],"amplitude":[190],"better":[191],"has":[193],"higher":[195],"resolution":[196],"than":[197],"CWT":[199],"mismatched":[201],"which":[208],"helpful":[210],"analysis":[214],"future.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
