{"id":"https://openalex.org/W2059817405","doi":"https://doi.org/10.1109/lgrs.2013.2248119","title":"A Data Pair-Labeled Generalized Hough Transform for Radar Location of Buried Objects","display_name":"A Data Pair-Labeled Generalized Hough Transform for Radar Location of Buried Objects","publication_year":2013,"publication_date":"2013-03-27","ids":{"openalex":"https://openalex.org/W2059817405","doi":"https://doi.org/10.1109/lgrs.2013.2248119","mag":"2059817405"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2013.2248119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2248119","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/A5073452290","display_name":"C. G. Windsor","orcid":"https://orcid.org/0000-0002-9030-5849"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"C. G. Windsor","raw_affiliation_strings":["Retired, resides in East Hagbourne, U.K"],"affiliations":[{"raw_affiliation_string":"Retired, resides in East Hagbourne, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045727870","display_name":"Lorenzo Capineri","orcid":"https://orcid.org/0000-0003-4432-3197"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Capineri","raw_affiliation_strings":["Department of Information Engineering, University of Florence, Florence, Italy","Department of Information Engineering University of Florence, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"Department of Information Engineering University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008570022","display_name":"Pierluigi Falorni","orcid":"https://orcid.org/0000-0001-5523-9375"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"P. Falorni","raw_affiliation_strings":["Department of Information Engineering, University of Florence, Florence, Italy","Department of Information Engineering University of Florence, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"Department of Information Engineering University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073452290"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9907,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.90490342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"1","first_page":"124","last_page":"127"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/hough-transform","display_name":"Hough transform","score":0.8059549927711487},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6996992826461792},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6622174978256226},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5633298754692078},{"id":"https://openalex.org/keywords/maxima","display_name":"Maxima","score":0.4732028841972351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45766761898994446},{"id":"https://openalex.org/keywords/equidistant","display_name":"Equidistant","score":0.4331165552139282},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.43248748779296875},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.42912328243255615},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.4275248646736145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4197568893432617},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4117346405982971},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40671467781066895},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.3915504515171051},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3527374863624573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34390830993652344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31995147466659546},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1930423378944397},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13658544421195984},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10205012559890747}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8059549927711487},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6996992826461792},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6622174978256226},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5633298754692078},{"id":"https://openalex.org/C91528185","wikidata":"https://www.wikidata.org/wiki/Q520952","display_name":"Maxima","level":3,"score":0.4732028841972351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45766761898994446},{"id":"https://openalex.org/C158245278","wikidata":"https://www.wikidata.org/wiki/Q4386982","display_name":"Equidistant","level":2,"score":0.4331165552139282},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.43248748779296875},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.42912328243255615},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.4275248646736145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4197568893432617},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4117346405982971},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40671467781066895},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.3915504515171051},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3527374863624573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34390830993652344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31995147466659546},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1930423378944397},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13658544421195984},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10205012559890747},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2013.2248119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2248119","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"},{"id":"pmh:oai:flore.unifi.it:2158/793165","is_oa":false,"landing_page_url":"http://hdl.handle.net/2158/793165","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1970565616","https://openalex.org/W1970624683","https://openalex.org/W1978543941","https://openalex.org/W1995925762","https://openalex.org/W2037466460","https://openalex.org/W2066462894","https://openalex.org/W2067382588","https://openalex.org/W2072244291","https://openalex.org/W2095905764","https://openalex.org/W2096168716","https://openalex.org/W2138489340","https://openalex.org/W2319322233","https://openalex.org/W2324294366","https://openalex.org/W2491745690","https://openalex.org/W2496953642","https://openalex.org/W3036171399","https://openalex.org/W4285719527","https://openalex.org/W6699991798","https://openalex.org/W6700914602","https://openalex.org/W6780252059"],"related_works":["https://openalex.org/W2050191802","https://openalex.org/W2160559052","https://openalex.org/W1973781123","https://openalex.org/W181473267","https://openalex.org/W4232457976","https://openalex.org/W1835819466","https://openalex.org/W2156081102","https://openalex.org/W125048092","https://openalex.org/W3105193347","https://openalex.org/W2797691919"],"abstract_inverted_index":{"A":[0,86],"method":[1,63,132],"is":[2,15,25,64,133,153],"presented":[3],"for":[4,37],"isolating":[5],"the":[6,44,46,50,55,72,82,110,123],"overlapping":[7],"hyperbolic":[8],"arcs":[9],"found":[10],"when":[11],"a":[12,29,38,92,114,145],"radar":[13,39,57,137],"scan":[14],"made":[16],"over":[17],"several":[18],"adjacent":[19],"buried":[20,140],"objects.":[21],"The":[22,59,131,142],"reflected":[23,56],"signal":[24],"first":[26],"converted":[27],"into":[28],"series":[30],"of":[31,49,74,88,144],"data":[32,75,106,138],"pairs":[33,76],"(yj,":[34],"tj)":[35],"giving,":[36],"antennae":[40],"position":[41],"yj":[42],"along":[43],"scan,":[45],"times-of-flight":[47],"tj":[48],"maxima":[51],"or":[52,129],"minima":[53],"in":[54,68,81,94],"amplitude.":[58],"generalized":[60],"Hough":[61,83],"transform":[62],"extended":[65],"to":[66,78,102,121],"record":[67],"an":[69],"associative":[70],"store":[71],"sets":[73],"contributing":[77,105],"each":[79],"bin":[80],"accumulator":[84],"space.":[85],"cluster":[87],"high":[89],"bins,":[90],"defining":[91],"peak":[93],"this":[95],"space,":[96],"may":[97],"then":[98],"be":[99,119],"broken":[100],"down":[101],"reveal":[103,122],"its":[104],"pairs.":[107],"This":[108],"gives":[109],"important":[111],"advantage":[112],"that":[113],"conventional":[115],"least-squares":[116],"algorithm":[117],"can":[118],"used":[120],"object":[124],"position,":[125],"depth,":[126],"and":[127],"radius":[128,143,147],"velocity.":[130],"demonstrated":[134],"on":[135],"real":[136],"from":[139],"pipes.":[141],"0.18-m":[146],"concrete":[148],"pipe":[149],"at":[150,155],"1-m":[151],"depth":[152],"estimated":[154],"0.14":[156],"m.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
