{"id":"https://openalex.org/W2912178711","doi":"https://doi.org/10.1109/tgrs.2018.2889248","title":"Efficient Detection of Buried Plastic Pipes by Combining GPR and Electric Field Methods","display_name":"Efficient Detection of Buried Plastic Pipes by Combining GPR and Electric Field Methods","publication_year":2019,"publication_date":"2019-02-09","ids":{"openalex":"https://openalex.org/W2912178711","doi":"https://doi.org/10.1109/tgrs.2018.2889248","mag":"2912178711"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2889248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2889248","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/A5058715345","display_name":"Xiren Zhou","orcid":"https://orcid.org/0000-0002-6323-5662"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiren Zhou","raw_affiliation_strings":["UBRI, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"UBRI, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605447","display_name":"Huanhuan Chen","orcid":"https://orcid.org/0000-0002-3918-384X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Chen","raw_affiliation_strings":["UBRI, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"UBRI, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019356977","display_name":"Tong Hao","orcid":"https://orcid.org/0000-0003-0177-6006"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Hao","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058715345"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":4.1771,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93351694,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"57","issue":"6","first_page":"3967","last_page":"3979"},"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.9930999875068665,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.9581310749053955},{"id":"https://openalex.org/keywords/electric-field","display_name":"Electric field","score":0.6869712471961975},{"id":"https://openalex.org/keywords/hyperbola","display_name":"Hyperbola","score":0.681837260723114},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6249468922615051},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49581465125083923},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.49424174427986145},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4432459771633148},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3867858350276947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.377078652381897},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.33359798789024353},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2702332139015198},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11040246486663818},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07838454842567444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07769379019737244},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07306846976280212}],"concepts":[{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.9581310749053955},{"id":"https://openalex.org/C60799052","wikidata":"https://www.wikidata.org/wiki/Q46221","display_name":"Electric field","level":2,"score":0.6869712471961975},{"id":"https://openalex.org/C145050668","wikidata":"https://www.wikidata.org/wiki/Q165301","display_name":"Hyperbola","level":2,"score":0.681837260723114},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6249468922615051},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49581465125083923},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.49424174427986145},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4432459771633148},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3867858350276947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.377078652381897},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.33359798789024353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2702332139015198},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11040246486663818},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07838454842567444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07769379019737244},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07306846976280212},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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:10.1109/tgrs.2018.2889248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2889248","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":[],"awards":[{"id":"https://openalex.org/G1261807904","display_name":null,"funder_award_id":"91846111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1450990713","display_name":null,"funder_award_id":"91746209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1683791430","display_name":null,"funder_award_id":"2017YFA0603100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4351151405","display_name":null,"funder_award_id":"51507112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8375970152","display_name":null,"funder_award_id":"91546116","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1510657136","https://openalex.org/W1524721113","https://openalex.org/W1531275842","https://openalex.org/W1550960066","https://openalex.org/W1572709184","https://openalex.org/W1981609785","https://openalex.org/W1995376165","https://openalex.org/W1999738916","https://openalex.org/W2005960247","https://openalex.org/W2014331134","https://openalex.org/W2017399881","https://openalex.org/W2023180716","https://openalex.org/W2025459157","https://openalex.org/W2026588854","https://openalex.org/W2027154362","https://openalex.org/W2031636205","https://openalex.org/W2035752142","https://openalex.org/W2040513229","https://openalex.org/W2059817405","https://openalex.org/W2064010084","https://openalex.org/W2075427310","https://openalex.org/W2079073363","https://openalex.org/W2084731841","https://openalex.org/W2096168716","https://openalex.org/W2096183784","https://openalex.org/W2110544903","https://openalex.org/W2111569829","https://openalex.org/W2113003378","https://openalex.org/W2122933942","https://openalex.org/W2123665156","https://openalex.org/W2130976145","https://openalex.org/W2138489340","https://openalex.org/W2140277740","https://openalex.org/W2159949040","https://openalex.org/W2181641629","https://openalex.org/W2226264782","https://openalex.org/W2432841566","https://openalex.org/W2462102861","https://openalex.org/W2521901407","https://openalex.org/W2541403746","https://openalex.org/W2556752133","https://openalex.org/W2754864794","https://openalex.org/W2794183852","https://openalex.org/W3149976863","https://openalex.org/W4301207534","https://openalex.org/W6631280895","https://openalex.org/W6631730650","https://openalex.org/W6686047600"],"related_works":["https://openalex.org/W1952501805","https://openalex.org/W2895241666","https://openalex.org/W2377795586","https://openalex.org/W2803739483","https://openalex.org/W3022534700","https://openalex.org/W3012757833","https://openalex.org/W2328120466","https://openalex.org/W4252478876","https://openalex.org/W2392793159","https://openalex.org/W2788869335"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"efficient":[4],"plastic":[5,64,74],"pipe":[6,113],"detecting":[7],"model":[8,24,31,104],"is":[9],"proposed,":[10],"which":[11],"combines":[12],"the":[13,19,27,34,57,69,77,90,98,102,106,111,115,127,129,139,155,169,174],"ground":[14],"penetrating":[15],"radar":[16],"(GPR)":[17],"and":[18,33,44,59,96,108,121,138,162,171],"electric":[20,28,42,78,131],"field":[21,29,43,79,132],"method.":[22],"The":[23,66],"consists":[25],"of":[26,62,72,110,148,173],"locating":[30],"(EFLM)":[32],"GPR":[35,45,84,140],"B-scan":[36,85,141],"image":[37,86,142,157],"interpreting":[38],"(GBII)":[39],"model.":[40],"Synchronized":[41],"data":[46,51,80,133],"are":[47],"collected":[48],"through":[49],"a":[50,83],"acquisition":[52],"device":[53],"dedicatedly":[54],"designed":[55],"for":[56],"swift":[58],"accurate":[60],"estimation":[61],"buried":[63,112,175],"pipes.":[65],"EFLM":[67],"estimates":[68],"approximate":[70],"locations":[71],"underground":[73],"pipes":[75,176],"from":[76],"quickly,":[81],"separates":[82],"into":[87],"segments,":[88],"keeps":[89],"segments":[91,158],"that":[92,124],"might":[93],"contain":[94],"hyperbolas,":[95],"discards":[97],"irrelevant":[99,149],"ones.":[100],"Then,":[101],"GBII":[103],"interprets":[105],"depth":[107,170],"radius":[109,172],"in":[114,154],"kept":[116,156],"segments.":[117],"Our":[118],"numerical":[119],"simulations":[120],"experiments":[122],"prove":[123],"by":[125],"utilizing":[126],"EFLM,":[128],"1-D":[130],"could":[134,143,159,177],"be":[135,144,160,178],"processed":[136],"quickly":[137],"segmented":[145],"with":[146],"part":[147],"pixels":[150],"discarded,":[151],"while":[152],"hyperbolas":[153],"automatically":[161],"accurately":[163],"fitted.":[164],"With":[165],"our":[166],"proposed":[167],"model,":[168],"efficiently":[179],"obtained.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
