{"id":"https://openalex.org/W4391853674","doi":"https://doi.org/10.1109/jstars.2024.3366397","title":"Efficient Denoising of Multidimensional GPR Data Based on Fast Dictionary Learning","display_name":"Efficient Denoising of Multidimensional GPR Data Based on Fast Dictionary Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391853674","doi":"https://doi.org/10.1109/jstars.2024.3366397"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3366397","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3366397","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10438015.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10438015.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040695983","display_name":"Deshan Feng","orcid":"https://orcid.org/0000-0002-6290-7797"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deshan Feng","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China","School of Earth Sciences, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Earth Sciences, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102258148","display_name":"Li He","orcid":"https://orcid.org/0009-0000-8303-8407"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li He","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722972","display_name":"Xun Wang","orcid":"https://orcid.org/0000-0002-3039-4683"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Wang","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001488682","display_name":"Yougan Xiao","orcid":"https://orcid.org/0009-0001-6558-5535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yougan Xiao","raw_affiliation_strings":["Fuzhou City Construction Design and Research Institute, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou City Construction Design and Research Institute, Fuzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114546909","display_name":"Guoxing Huang","orcid":"https://orcid.org/0009-0004-3498-1465"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoxing Huang","raw_affiliation_strings":["Fuzhou City Construction Design and Research Institute, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou City Construction Design and Research Institute, Fuzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036564611","display_name":"Liqiong Cai","orcid":"https://orcid.org/0009-0000-1805-6828"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liqiong Cai","raw_affiliation_strings":["Fuzhou City Construction Design and Research Institute, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou City Construction Design and Research Institute, Fuzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031351831","display_name":"Xiaoyong Tai","orcid":"https://orcid.org/0009-0004-5991-5122"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyong Tai","raw_affiliation_strings":["Fuzhou City Construction Design and Research Institute, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou City Construction Design and Research Institute, Fuzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5040695983"],"corresponding_institution_ids":["https://openalex.org/I139660479","https://openalex.org/I4210119674"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":3.9359,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93110076,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"5221","last_page":"5233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9987000226974487,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515007257461548},{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.738957405090332},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6467504501342773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5670864582061768},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5595319271087646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46308451890945435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3512728214263916},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.18301016092300415},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1454702913761139},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07273682951927185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515007257461548},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.738957405090332},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6467504501342773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5670864582061768},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5595319271087646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46308451890945435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3512728214263916},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.18301016092300415},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1454702913761139},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07273682951927185}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3366397","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3366397","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10438015.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9774a635ffee47a7be10b564f28f41b3","is_oa":true,"landing_page_url":"https://doaj.org/article/9774a635ffee47a7be10b564f28f41b3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5221-5233 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3366397","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3366397","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10438015.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5400000214576721,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G161114371","display_name":null,"funder_award_id":"104143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2816515456","display_name":null,"funder_award_id":"2021JJ30806","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5685819287","display_name":null,"funder_award_id":"2022JJ40584","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6645803821","display_name":null,"funder_award_id":"42074161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7310797068","display_name":null,"funder_award_id":"42104143","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391853674.pdf","grobid_xml":"https://content.openalex.org/works/W4391853674.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1966364402","https://openalex.org/W1975974452","https://openalex.org/W1976685767","https://openalex.org/W1994281301","https://openalex.org/W1996387079","https://openalex.org/W2016572604","https://openalex.org/W2021822317","https://openalex.org/W2079400328","https://openalex.org/W2080815943","https://openalex.org/W2082114499","https://openalex.org/W2083799719","https://openalex.org/W2090140798","https://openalex.org/W2097323375","https://openalex.org/W2112225829","https://openalex.org/W2128659236","https://openalex.org/W2132680427","https://openalex.org/W2152582233","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2330513885","https://openalex.org/W2332422343","https://openalex.org/W2345451789","https://openalex.org/W2520742745","https://openalex.org/W2735089946","https://openalex.org/W2735688665","https://openalex.org/W2760630831","https://openalex.org/W2772859887","https://openalex.org/W2811199783","https://openalex.org/W2910031945","https://openalex.org/W2913483483","https://openalex.org/W2971803000","https://openalex.org/W3007502639","https://openalex.org/W3014595343","https://openalex.org/W3084365225","https://openalex.org/W3087855420","https://openalex.org/W3121345179","https://openalex.org/W3128511978","https://openalex.org/W3129028618","https://openalex.org/W3133648007","https://openalex.org/W3139399265","https://openalex.org/W3158772606","https://openalex.org/W3162912023","https://openalex.org/W3164852505","https://openalex.org/W3196537161","https://openalex.org/W3210518737","https://openalex.org/W4221154269","https://openalex.org/W4226458280","https://openalex.org/W4250955649","https://openalex.org/W4280551717","https://openalex.org/W4281884783","https://openalex.org/W4285218818","https://openalex.org/W4290998936","https://openalex.org/W4298145819","https://openalex.org/W4312403660","https://openalex.org/W4313320757"],"related_works":["https://openalex.org/W4315471419","https://openalex.org/W2946057701","https://openalex.org/W4386931161","https://openalex.org/W2374146176","https://openalex.org/W2065249286","https://openalex.org/W2366839571","https://openalex.org/W4223960160","https://openalex.org/W2027762722","https://openalex.org/W2356754952","https://openalex.org/W2107465576"],"abstract_inverted_index":{"Denoising":[0],"plays":[1],"a":[2,53,68,78,105,115,165,207,231],"fundamental":[3],"role":[4],"in":[5,55,73,111,173,191,226,234],"ground":[6],"penetrating":[7],"radar":[8],"(GPR)":[9],"data":[10,62,162,178],"processing":[11],"and":[12,21,61,120,143,184],"determines":[13],"the":[14,28,44,49,56,65,84,90,96,147,174,196,200,223],"effect":[15],"of":[16,58,99,104,108,137,203,214,222],"anomaly":[17],"extraction,":[18],"inversion":[19],"imaging,":[20],"other":[22],"subsequent":[23],"processing.":[24],"In":[25],"recent":[26],"years,":[27],"sparse":[29],"dictionary":[30,79,91,152],"representation":[31],"method":[32,81,198],"k-singular":[33],"value":[34],"decomposition":[35],"(K-SVD)":[36],"based":[37,82],"on":[38,83,139],"K-means,":[39],"which":[40],"can":[41,155,179],"adaptively":[42],"change":[43],"basis":[45],"function":[46],"according":[47],"to":[48,129,206],"data,":[50,146],"has":[51],"become":[52],"hotspot":[54],"field":[57,145,193],"image":[59],"denoising":[60,186,235],"reconstruction.":[63],"Nevertheless,":[64],"SVD":[66,109],"is":[67],"time-consumed":[69],"calculation,":[70],"especially":[71],"unacceptable":[72],"multidimensional":[74],"problems,":[75],"we":[76],"introduce":[77],"learning":[80,153],"sequential":[85],"generalized":[86],"K-means":[87],"(SGK),":[88],"where":[89],"atoms":[92],"are":[93],"updated":[94],"by":[95],"arithmetic":[97],"average":[98],"several":[100],"training":[101],"signals":[102],"instead":[103],"great":[106],"deal":[107],"calculation":[110],"K-SVD.":[112],"We":[113],"establish":[114],"3-D":[116,131,140,144,192],"road":[117],"simulation":[118,128],"model":[119],"conducts":[121],"finite":[122],"difference":[123],"time":[124],"domain":[125],"forward":[126,177],"numerical":[127,141],"acquire":[130],"GPR":[132,161],"data.":[133,194],"Through":[134],"three":[135],"sets":[136],"experiments":[138],"examples":[142],"results":[148],"show":[149],"that":[150,221],"both":[151,185],"algorithms":[154],"successfully":[156],"remove":[157],"random":[158,175],"noise":[159],"from":[160],"even":[163],"at":[164],"lower":[166],"input":[167],"signal-to-noise":[168],"ratio.":[169],"The":[170,210],"clutter":[171],"interference":[172],"medium":[176],"be":[180],"effectively":[181],"eliminated":[182],"simultaneously,":[183],"methods":[187],"exhibit":[188],"promising":[189],"applications":[190],"However,":[195],"SGK":[197,215],"solves":[199],"serious":[201],"problem":[202],"computational":[204,211],"efficiency":[205],"certain":[208],"extent.":[209],"acceleration":[212],"ratio":[213],"remains":[216],"consistently":[217],"above":[218],"7.5":[219],"times":[220],"K-SVD":[224],"algorithm":[225],"multi-group":[227],"experiments,":[228],"with":[229],"only":[230],"marginal":[232],"decline":[233],"performance.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
