{"id":"https://openalex.org/W4293739854","doi":"https://doi.org/10.1142/s0218001422540210","title":"Wavelet Entropy-Based Method for Migration Imaging of Hidden Microcracks by Using the Optimal Wave Velocity","display_name":"Wavelet Entropy-Based Method for Migration Imaging of Hidden Microcracks by Using the Optimal Wave Velocity","publication_year":2022,"publication_date":"2022-08-31","ids":{"openalex":"https://openalex.org/W4293739854","doi":"https://doi.org/10.1142/s0218001422540210"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422540210","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422540210","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5076566693","display_name":"Fei Hua","orcid":"https://orcid.org/0000-0002-0630-4756"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Hua","raw_affiliation_strings":["Department of Civil Engineering, Changsha University of Science and Technology, Changsha 410114, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0002-0630-4756","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Changsha University of Science and Technology, Changsha 410114, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026273686","display_name":"Tonghua Ling","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tonghua Ling","raw_affiliation_strings":["Department of Civil Engineering, Changsha University of Science and Technology, Changsha 410114, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Changsha University of Science and Technology, Changsha 410114, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102892044","display_name":"Wenchao He","orcid":"https://orcid.org/0000-0003-1104-4677"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao He","raw_affiliation_strings":["Department of Civil Engineering, Changsha University of Science and Technology, Changsha 410114, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Changsha University of Science and Technology, Changsha 410114, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035869703","display_name":"Xianjun Liu","orcid":"https://orcid.org/0000-0001-7825-6741"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianjun Liu","raw_affiliation_strings":["Room 501, Office Building Changsha 410114, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Room 501, Office Building Changsha 410114, P.\u00a0R.\u00a0China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12034806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"15","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.7383252382278442},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.552060067653656},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5461966395378113},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5072850584983826},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.5016448497772217},{"id":"https://openalex.org/keywords/wave-propagation","display_name":"Wave propagation","score":0.469437837600708},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.42239993810653687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41287365555763245},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.40571776032447815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2988305687904358},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24560484290122986},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20674684643745422},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0872834324836731}],"concepts":[{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.7383252382278442},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.552060067653656},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5461966395378113},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5072850584983826},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5016448497772217},{"id":"https://openalex.org/C44886760","wikidata":"https://www.wikidata.org/wiki/Q1758425","display_name":"Wave propagation","level":2,"score":0.469437837600708},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.42239993810653687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41287365555763245},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.40571776032447815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2988305687904358},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24560484290122986},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20674684643745422},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0872834324836731},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422540210","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422540210","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7973560912","display_name":null,"funder_award_id":"52078061","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":20,"referenced_works":["https://openalex.org/W1668748967","https://openalex.org/W2032420132","https://openalex.org/W2057206353","https://openalex.org/W2160377495","https://openalex.org/W2761128996","https://openalex.org/W2796506861","https://openalex.org/W2806121741","https://openalex.org/W2906468412","https://openalex.org/W2912371381","https://openalex.org/W2913029471","https://openalex.org/W2921118925","https://openalex.org/W2937753499","https://openalex.org/W2947642419","https://openalex.org/W3002210514","https://openalex.org/W3007914968","https://openalex.org/W3010788550","https://openalex.org/W3095815163","https://openalex.org/W3097072081","https://openalex.org/W3101454826","https://openalex.org/W3119945407"],"related_works":["https://openalex.org/W2946057701","https://openalex.org/W4386931161","https://openalex.org/W2374146176","https://openalex.org/W2065249286","https://openalex.org/W4315471419","https://openalex.org/W2366839571","https://openalex.org/W4223960160","https://openalex.org/W2027762722","https://openalex.org/W2077021924","https://openalex.org/W2381249032"],"abstract_inverted_index":{"Exploring":[0],"the":[1,16,32,39,46,52,57,65,88,95,102,131,145,153,159,163,167,178,184,188,194,200,207,212,218,226,237],"shape":[2,59],"and":[3,75,101,108,118,170,198,211],"direction":[4],"of":[5,15,19,35,42,60,70,78,136,187,202,240],"hidden":[6,36,61,71,120,241],"cracks":[7,37,80,138],"in":[8,244],"a":[9,84],"tunnel":[10,245],"lining":[11,246],"structure":[12],"is":[13,38,51,214],"one":[14],"main":[17],"objectives":[18],"ground":[20],"penetrating":[21],"radar":[22,132],"(GPR)":[23],"map":[24],"interpretation.":[25],"The":[26,127,229],"most":[27],"important":[28],"factor":[29],"that":[30,130,206],"restricts":[31],"migration":[33,106,111,125,190,195],"imaging":[34,112],"propagation":[40],"velocity":[41,50,92,182,185],"electromagnetic":[43,48,90,180],"waves.":[44],"Determining":[45],"optimal":[47,89,179],"wave":[49,91,181,209],"key":[53],"to":[54,86,151,225],"truthfully":[55],"restoring":[56],"actual":[58],"cracks.":[62],"To":[63],"study":[64],"GPR":[66,249],"characteristic":[67,133],"response":[68,134],"signals":[69,204],"cracks,":[72],"forward":[73,142],"simulation":[74],"model":[76,155],"experiments":[77],"different":[79,137],"were":[81,114,122],"performed.":[82],"Subsequently,":[83],"method":[85,113,150,191],"determine":[87],"based":[93],"on":[94,158],"wavelet":[96,160],"entropy":[97,161],"theory":[98],"was":[99,173],"proposed,":[100],"frequency":[103],"wavenumber":[104],"domain":[105,149],"(F-K)":[107],"Kirchhoff":[109],"integral":[110],"combined.":[115],"Horizontal,":[116],"S-type,":[117],"inclined":[119],"fractures":[121],"examined":[123],"by":[124,143,248],"imaging.":[126],"results":[128,231],"show":[129],"images":[135],"can":[139,192,222,232],"be":[140,223],"simulated":[141],"using":[144],"finite":[146],"difference":[147],"time":[148],"write":[152],"fracture":[154,220],"instruction.":[156],"Based":[157],"theory,":[162],"error":[164],"range":[165],"between":[166],"estimated":[168],"value":[169,172],"true":[171],"controlled":[174],"within":[175],"4%.":[176],"Taking":[177],"as":[183],"parameter":[186],"conventional":[189],"make":[193],"more":[196,215],"effective":[197],"suppress":[199],"interference":[201],"echo":[203],"so":[205],"diffraction":[208],"converges,":[210],"energy":[213],"concentrated;":[216],"thus,":[217],"real":[219],"morphology":[221],"restored":[224],"greatest":[227],"extent.":[228],"research":[230],"provide":[233],"technical":[234],"support":[235],"for":[236],"fine":[238],"detection":[239],"quality":[242],"defects":[243],"structures":[247],"mapping.":[250]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}