{"id":"https://openalex.org/W4396877645","doi":"https://doi.org/10.1109/tgrs.2024.3400371","title":"Magnetic Resonance Sounding Data Denoising Based on Successive Dn-ResUnet Models With Noise Predetection Using Support Vector Machine","display_name":"Magnetic Resonance Sounding Data Denoising Based on Successive Dn-ResUnet Models With Noise Predetection Using Support Vector Machine","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396877645","doi":"https://doi.org/10.1109/tgrs.2024.3400371"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3400371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3400371","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/A5002184499","display_name":"Meng Wei","orcid":"https://orcid.org/0000-0001-9338-4493"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Wei","raw_affiliation_strings":["Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017611781","display_name":"Sijia Yu","orcid":"https://orcid.org/0000-0002-9644-1649"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijia Yu","raw_affiliation_strings":["Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060331137","display_name":"T. M. S. Chang","orcid":"https://orcid.org/0009-0006-8484-9109"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Chang","raw_affiliation_strings":["Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738200","display_name":"Tingting Lin","orcid":"https://orcid.org/0000-0002-6061-2311"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Lin","raw_affiliation_strings":["Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037548741","display_name":"Xiaoxue Lin","orcid":"https://orcid.org/0000-0001-9131-001X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxue Lin","raw_affiliation_strings":["Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, and the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002184499"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":2.6391,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92459393,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12603","display_name":"NMR spectroscopy and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12603","display_name":"NMR spectroscopy and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.996399998664856,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6934597492218018},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6874406933784485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6654118299484253},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6597323417663574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6486274003982544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5504827499389648},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4892990291118622},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33008643984794617}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6934597492218018},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6874406933784485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6654118299484253},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6597323417663574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6486274003982544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5504827499389648},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4892990291118622},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33008643984794617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3400371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3400371","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":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1618251832","display_name":null,"funder_award_id":"42330803","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2459774772","display_name":null,"funder_award_id":"U21A2020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3581941546","display_name":null,"funder_award_id":"42304156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5004030869","display_name":null,"funder_award_id":"20220201059GX","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"},{"id":"https://openalex.org/G5148396619","display_name":null,"funder_award_id":"2022M711292","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1772660951","https://openalex.org/W1901616594","https://openalex.org/W1964084427","https://openalex.org/W1990130565","https://openalex.org/W1997036417","https://openalex.org/W1998711164","https://openalex.org/W2019514944","https://openalex.org/W2023631464","https://openalex.org/W2030004709","https://openalex.org/W2038145696","https://openalex.org/W2051993004","https://openalex.org/W2066939824","https://openalex.org/W2069282056","https://openalex.org/W2096352448","https://openalex.org/W2100819670","https://openalex.org/W2121069620","https://openalex.org/W2138838972","https://openalex.org/W2156909104","https://openalex.org/W2158702718","https://openalex.org/W2186316592","https://openalex.org/W2395568312","https://openalex.org/W2412001056","https://openalex.org/W2621966225","https://openalex.org/W2786985122","https://openalex.org/W2994659009","https://openalex.org/W3020052558","https://openalex.org/W4205111326","https://openalex.org/W4213308398","https://openalex.org/W4226109638","https://openalex.org/W4236706032","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W3034789145","https://openalex.org/W4367628250","https://openalex.org/W2327107878","https://openalex.org/W2171117985","https://openalex.org/W1526760723","https://openalex.org/W2012356576","https://openalex.org/W2126659863","https://openalex.org/W3108403339","https://openalex.org/W3112120395","https://openalex.org/W4385670989"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"sounding":[2],"(MRS)":[3],"measurements":[4],"used":[5],"for":[6,84,127,147,213,241],"detecting":[7],"the":[8,14,26,35,38,55,74,80,113,123,129,135,139,163,179,183,190,193,197,201,204,210,220,227,257],"subsurface":[9],"aquifers":[10],"commonly":[11],"suffer":[12],"from":[13,138],"notoriously":[15],"low":[16,59,97],"signal-to-noise":[17],"ratio":[18],"(SNR).":[19],"The":[20,224],"conventional":[21],"approaches":[22],"usually":[23],"deal":[24],"with":[25,169,256],"specific":[27,85,130,148,214],"noise":[28,86,88,94,114,151,164,194,207,215,243,247],"components":[29],"step":[30,32],"by":[31,111],"to":[33,92,152,157,188,218],"improve":[34],"SNR,":[36],"but":[37,61],"denoising":[39,44,81,109,125,253,259],"effect":[40],"is":[41,176,186,216],"limited.":[42],"MRS":[43,222],"methods":[45],"based":[46],"on":[47,178],"neural":[48],"networks":[49],"show":[50,232],"great":[51],"potential":[52],"in":[53,73,142,196],"recovering":[54],"effective":[56,98],"signals":[57],"at":[58],"SNRs,":[60],"need":[62],"large":[63],"amount":[64],"of":[65,76,150,192,203,226],"high-quality":[66],"labeled":[67],"training":[68,180,198],"datasets":[69],"and":[70,96,122,144,209,229,245],"have":[71],"limitations":[72],"application":[75],"measured":[77],"data.":[78,223],"And":[79,182],"model":[82,166],"trained":[83,177],"without":[87],"type":[89],"identification":[90,244],"leads":[91],"excessive":[93],"cancellation":[95],"signal":[99,141],"fidelity.":[100],"To":[101],"address":[102],"these":[103],"issues,":[104],"we":[105],"propose":[106],"an":[107],"intelligent":[108,124,246],"process":[110,219],"combining":[112],"detection":[115,165],"method":[116,236],"using":[117,167],"support":[118],"vector":[119],"machine":[120],"(SVM)":[121],"models":[126,212],"suppressing":[128],"noise.":[131],"We":[132],"first":[133],"consider":[134],"discriminative":[136],"features":[137],"noisy":[140,221],"time":[143],"frequency":[145],"domains":[146],"types":[149],"be":[153],"identified,":[154],"so":[155],"as":[156],"construct":[158],"3D":[159],"feature":[160],"vectors.":[161],"Second,":[162],"SVM":[168,206],"radial":[170],"basis":[171],"function":[172,175],"(RBF)":[173],"kernel":[174],"samples.":[181],"cross-validation":[184],"technique":[185],"adapted":[187],"assess":[189],"performance":[191,254],"detectors":[195,208],"process.":[199],"Finally,":[200],"combination":[202],"well-trained":[205],"Dn-ResUnet":[211],"applied":[217],"results":[225],"simulation":[228],"field":[230],"experiments":[231],"that":[233],"our":[234],"proposed":[235],"provides":[237],"a":[238,251],"one-stop":[239],"flow":[240],"automatic":[242],"removal,":[248],"which":[249],"achieves":[250],"better":[252],"compared":[255],"existing":[258],"methods.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
