{"id":"https://openalex.org/W2954087457","doi":"https://doi.org/10.1109/lgrs.2019.2899896","title":"Filtering out Antenna Effects From GPR Data by an RBF Neural Network","display_name":"Filtering out Antenna Effects From GPR Data by an RBF Neural Network","publication_year":2019,"publication_date":"2019-07-07","ids":{"openalex":"https://openalex.org/W2954087457","doi":"https://doi.org/10.1109/lgrs.2019.2899896","mag":"2954087457"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2899896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2899896","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/A5110008926","display_name":"Jing Wei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Wei Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Electronics, Beijing, China","Key Laboratory of Electromagnetic Radiation and Sensing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Electronics, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Radiation and Sensing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005634189","display_name":"Sheng Bo Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Bo Ye","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Electronics, Beijing, China","Key Laboratory of Electromagnetic Radiation and Sensing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Electronics, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Radiation and Sensing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697642","display_name":"Hai Liu","orcid":"https://orcid.org/0000-0003-4494-1075"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Liu","raw_affiliation_strings":["School of Civil Engineering, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012873783","display_name":"Li Yi","orcid":"https://orcid.org/0000-0003-0216-831X"},"institutions":[{"id":"https://openalex.org/I58089638","display_name":"Fukushima University","ror":"https://ror.org/03zjb7z20","country_code":"JP","type":"education","lineage":["https://openalex.org/I58089638"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Li Yi","raw_affiliation_strings":["Fukushima Renewable Energy Institute, Fukushima, Japan"],"affiliations":[{"raw_affiliation_string":"Fukushima Renewable Energy Institute, Fukushima, Japan","institution_ids":["https://openalex.org/I58089638"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056156922","display_name":"Guang You Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang You Fang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Electronics, Beijing, China","Key Laboratory of Electromagnetic Radiation and Sensing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Electronics, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Radiation and Sensing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110008926"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"],"apc_list":null,"apc_paid":null,"fwci":1.3174,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79595228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"9","first_page":"1378","last_page":"1382"},"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9975000023841858,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9962999820709229,"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":0.7692297697067261},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7007056474685669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5997697114944458},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5052943825721741},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.4263794422149658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36882877349853516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35640183091163635},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.31775325536727905},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2567189931869507},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21407288312911987}],"concepts":[{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.7692297697067261},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7007056474685669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5997697114944458},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5052943825721741},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.4263794422149658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36882877349853516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35640183091163635},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.31775325536727905},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2567189931869507},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21407288312911987}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2899896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2899896","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1940375222","https://openalex.org/W1977341198","https://openalex.org/W1984398326","https://openalex.org/W1991005508","https://openalex.org/W2012168831","https://openalex.org/W2028011633","https://openalex.org/W2031554729","https://openalex.org/W2089839637","https://openalex.org/W2114436944","https://openalex.org/W2124776405","https://openalex.org/W2130321148","https://openalex.org/W2144535965","https://openalex.org/W2151248321","https://openalex.org/W2339258976","https://openalex.org/W2761660673","https://openalex.org/W2769250359","https://openalex.org/W2775271991"],"related_works":["https://openalex.org/W2950931974","https://openalex.org/W2386387936","https://openalex.org/W3107474891","https://openalex.org/W2623771445","https://openalex.org/W2033914206","https://openalex.org/W52525226","https://openalex.org/W1612550073","https://openalex.org/W3132046273","https://openalex.org/W2116555895","https://openalex.org/W2143509088"],"abstract_inverted_index":{"When":[0],"sounding":[1],"pavement":[2],"layers":[3],"using":[4],"ground":[5],"penetrating":[6],"radar":[7],"(GPR),":[8],"antenna":[9,40,75,133],"effects":[10,25,50,76,134],"including":[11],"dispersion":[12],"and":[13,46,92,117,135],"multiple":[14],"reflections":[15],"usually":[16],"degrade":[17],"the":[18,39,63,88,93,101,115,124,132,137],"vertical":[19,138],"resolution.":[20],"In":[21,56],"far-field":[22],"conditions,":[23],"these":[24,48],"can":[26],"be":[27,44,52],"analytically":[28,53],"filtered":[29],"out":[30,74,131],"by":[31],"a":[32,59],"linear":[33],"method.":[34],"However,":[35],"for":[36,104],"near-field":[37,78],"operation,":[38],"model":[41,83],"tends":[42],"to":[43,72,86,114],"nonlinear,":[45],"thus,":[47],"unwanted":[49],"cannot":[51],"removed":[54],"anymore.":[55],"this":[57],"letter,":[58],"method":[60,126],"based":[61],"on":[62],"radial":[64],"basis":[65],"function":[66,97],"(RBF)":[67],"neural":[68],"network":[69,111],"is":[70,84,98,112,127],"proposed":[71,125],"filter":[73],"under":[77],"conditions.":[79],"A":[80],"well-developed":[81],"GPR":[82],"used":[85],"simulate":[87],"input":[89],"training":[90,106],"data,":[91],"corresponding":[94],"zero-offset":[95],"Green's":[96],"calculated":[99],"as":[100],"desired":[102],"output":[103],"each":[105],"data.":[107,119],"The":[108,120],"trained":[109],"RBF":[110],"applied":[113],"simulated":[116],"measured":[118],"results":[121],"show":[122],"that":[123],"effective":[128],"in":[129],"filtering":[130],"increasing":[136],"resolution":[139],"of":[140],"GPR.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
