{"id":"https://openalex.org/W3104899156","doi":"https://doi.org/10.1109/tgrs.2020.3034752","title":"TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation","display_name":"TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation","publication_year":2020,"publication_date":"2020-11-12","ids":{"openalex":"https://openalex.org/W3104899156","doi":"https://doi.org/10.1109/tgrs.2020.3034752","mag":"3104899156"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3034752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3034752","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/A5020579227","display_name":"Kecheng Chen","orcid":"https://orcid.org/0000-0001-6657-3221"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kecheng Chen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103248543","display_name":"Xiaorong Pu","orcid":"https://orcid.org/0000-0001-7387-7194"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorong Pu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China (e-mail:puxiaor@uestc.edu.cn)","[School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China (e-mail:puxiaor@uestc.edu.cn)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China (e-mail:puxiaor@uestc.edu.cn)","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"[School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China (e-mail:puxiaor@uestc.edu.cn)]","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055826974","display_name":"Yazhou Ren","orcid":"https://orcid.org/0000-0001-7705-4603"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yazhou Ren","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China (e-mail:yazhou.ren@uestc.edu.cn)","[School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China (e-mail:yazhou.ren@uestc.edu.cn)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China (e-mail:yazhou.ren@uestc.edu.cn)","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"[School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China (e-mail:yazhou.ren@uestc.edu.cn)]","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050104521","display_name":"Hang Qiu","orcid":"https://orcid.org/0000-0002-5380-2870"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Qiu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110578395","display_name":"Fanqiang Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fanqiang Lin","raw_affiliation_strings":["Key Laboratory of Geo-Detection and Information Techniques of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geo-Detection and Information Techniques of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010268520","display_name":"Saimin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saimin Zhang","raw_affiliation_strings":["Key Laboratory of Geo-Detection and Information Techniques of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geo-Detection and Information Techniques of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020579227"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":36.6482,"has_fulltext":false,"cited_by_count":507,"citation_normalized_percentile":{"value":0.99970383,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.9994999766349792,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7441753149032593},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7398534417152405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6278877258300781},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6005555987358093},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5994182825088501},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5669419765472412},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5514508485794067},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.47274458408355713},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46877163648605347},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.41197559237480164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38495099544525146},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.305928111076355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7441753149032593},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7398534417152405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6278877258300781},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6005555987358093},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5994182825088501},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5669419765472412},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5514508485794067},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.47274458408355713},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46877163648605347},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.41197559237480164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38495099544525146},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.305928111076355},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3034752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3034752","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":[{"display_name":"Life in Land","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1959550871","display_name":null,"funder_award_id":"2016M602674","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3384074292","display_name":null,"funder_award_id":"41930112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7313102849","display_name":null,"funder_award_id":"61806043","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1906770428","https://openalex.org/W1975992194","https://openalex.org/W1996124770","https://openalex.org/W1997041290","https://openalex.org/W2041989707","https://openalex.org/W2056370875","https://openalex.org/W2068123024","https://openalex.org/W2119290843","https://openalex.org/W2134804703","https://openalex.org/W2171650716","https://openalex.org/W2194775991","https://openalex.org/W2297543978","https://openalex.org/W2376382865","https://openalex.org/W2416136793","https://openalex.org/W2502312327","https://openalex.org/W2506016096","https://openalex.org/W2508457857","https://openalex.org/W2551161082","https://openalex.org/W2556967412","https://openalex.org/W2594993572","https://openalex.org/W2601502254","https://openalex.org/W2613155248","https://openalex.org/W2757208835","https://openalex.org/W2764207251","https://openalex.org/W2766379718","https://openalex.org/W2798278116","https://openalex.org/W2891271727","https://openalex.org/W2893389335","https://openalex.org/W2895190937","https://openalex.org/W2898136110","https://openalex.org/W2905312821","https://openalex.org/W2944133356","https://openalex.org/W2949117887","https://openalex.org/W2956015785","https://openalex.org/W2959031147","https://openalex.org/W2962824803","https://openalex.org/W2963073614","https://openalex.org/W2963774720","https://openalex.org/W2963814976","https://openalex.org/W2963840672","https://openalex.org/W2964013315","https://openalex.org/W2964277374","https://openalex.org/W2971719842","https://openalex.org/W2997508111","https://openalex.org/W3104725225","https://openalex.org/W3105158720","https://openalex.org/W3140285855","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6674855086","https://openalex.org/W6684191040","https://openalex.org/W6696085341","https://openalex.org/W6724804524","https://openalex.org/W6729983426","https://openalex.org/W6772389259"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2358137648","https://openalex.org/W3128819368","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W2259231220","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"The":[0],"considerable":[1],"prospecting":[2],"depth":[3],"and":[4,37,57,77,191,205],"accurate":[5],"subsurface":[6],"characteristics":[7],"can":[8,177],"be":[9],"obtained":[10],"by":[11,25,31],"the":[12,20,26,41,53,66,105,133,154,162,174],"transient":[13],"electromagnetic":[14],"method":[15,69,127],"(TEM)":[16],"in":[17,119,152,200],"geophysics.":[18],"Nevertheless,":[19],"time-domain":[21],"TEM":[22,54,106,137],"signal":[23,87,107,168],"received":[24],"coil":[27],"is":[28,78,117,128,145,158],"easily":[29],"disturbed":[30],"environmental":[32],"background":[33],"noise,":[34,36],"artificial":[35],"electronic":[38],"noise":[39,163],"of":[40,103,136],"equipment.":[42],"Recently,":[43],"deep":[44,98,142],"neural":[45,75,100],"networks":[46,76,101],"(DNNs)":[47],"have":[48,58],"been":[49],"used":[50],"to":[51,83,131,147,160],"solve":[52],"denoising":[55,68,95,108,113],"problem":[56],"achieved":[59],"better":[60,180],"performance":[61,181],"than":[62],"traditional":[63],"methods.":[64],"However,":[65],"existing":[67],"with":[70,85,97,183],"DNN":[71],"adopts":[72],"fully":[73],"connected":[74],"therefore":[79],"not":[80],"flexible":[81],"enough":[82],"deal":[84],"various":[86],"scales.":[88],"To":[89],"address":[90],"these":[91],"issues,":[92],"a":[93,123,140,195],"novel":[94,124,141],"framework":[96,176],"convolutional":[99],"(CNNs)":[102],"transforming":[104],"task":[109,114],"into":[110],"an":[111],"image":[112,165],"(namely,":[115],"TEMDnet)":[116],"proposed":[118,146,175],"this":[120],"article.":[121],"Specifically,":[122],"signal-to-image":[125],"transformation":[126],"developed":[129],"first":[130],"preserve":[132],"structural":[134],"features":[135],"signals.":[138],"Then,":[139],"CNN-based":[143],"denoiser":[144],"further":[148],"perform":[149],"feature":[150],"learning,":[151],"which":[153],"residual":[155],"learning":[156],"mechanism":[157],"adopted":[159],"model":[161],"estimation":[164],"for":[166],"different":[167],"features.":[169],"Extensive":[170],"experiments":[171],"demonstrate":[172],"that":[173],"achieve":[178],"much":[179],"compared":[182],"other":[184],"state-of-the-art":[185],"approaches":[186],"on":[187],"both":[188],"simulated":[189],"signals":[190,193],"real-world":[192],"from":[194],"landfill":[196],"leachate":[197],"treatment":[198],"plant":[199],"Chengdu,":[201],"Sichuan,":[202],"China.":[203],"Models":[204],"code":[206],"are":[207],"available":[208],"at":[209],"https://github.com/tonyckc/TEMDnet_demo.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":40},{"year":2025,"cited_by_count":134},{"year":2024,"cited_by_count":137},{"year":2023,"cited_by_count":121},{"year":2022,"cited_by_count":72},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}
