{"id":"https://openalex.org/W2599454304","doi":"https://doi.org/10.1109/ipas.2016.7880146","title":"RBF kernel based SVM classification for landmine detection and discrimination","display_name":"RBF kernel based SVM classification for landmine detection and discrimination","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2599454304","doi":"https://doi.org/10.1109/ipas.2016.7880146","mag":"2599454304"},"language":"en","primary_location":{"id":"doi:10.1109/ipas.2016.7880146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2016.7880146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-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/A5043344225","display_name":"Khaoula Tbarki","orcid":"https://orcid.org/0000-0002-2257-2777"},"institutions":[{"id":"https://openalex.org/I4210095301","display_name":"Higher Institute on Territorial Systems for Innovation","ror":"https://ror.org/00vc2nm91","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210095301","https://openalex.org/I4210155299"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Khaoula Tbarki","raw_affiliation_strings":["(ENIT), Laboratory SITI"],"affiliations":[{"raw_affiliation_string":"(ENIT), Laboratory SITI","institution_ids":["https://openalex.org/I4210095301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002633348","display_name":"Salma Ben Sa\u00efd","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095301","display_name":"Higher Institute on Territorial Systems for Innovation","ror":"https://ror.org/00vc2nm91","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210095301","https://openalex.org/I4210155299"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Salma Ben Said","raw_affiliation_strings":["(ENIT), Laboratory SITI"],"affiliations":[{"raw_affiliation_string":"(ENIT), Laboratory SITI","institution_ids":["https://openalex.org/I4210095301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006211488","display_name":"Riadh Ksantini","orcid":"https://orcid.org/0000-0001-8143-1600"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Riadh Ksantini","raw_affiliation_strings":["SUPCOM: S\u00e9curite Num\u00e9rique, University of Windsor, Windsor, ON, Canada"],"affiliations":[{"raw_affiliation_string":"SUPCOM: S\u00e9curite Num\u00e9rique, University of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063621759","display_name":"Zied Lachiri","orcid":"https://orcid.org/0000-0002-1289-5089"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zied Lachiri","raw_affiliation_strings":["Electrical Engineering Departement, Laboratory SITI"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Departement, Laboratory SITI","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043344225"],"corresponding_institution_ids":["https://openalex.org/I4210095301"],"apc_list":null,"apc_paid":null,"fwci":2.2088,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87861936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9868000149726868,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9508000016212463,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8067669868469238},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7116684913635254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6689706444740295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6574352979660034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.629633367061615},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5772845149040222},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44054728746414185},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.32388949394226074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10184338688850403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0767524242401123}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8067669868469238},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7116684913635254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6689706444740295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6574352979660034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.629633367061615},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5772845149040222},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44054728746414185},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.32388949394226074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10184338688850403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0767524242401123},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas.2016.7880146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2016.7880146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W651663910","https://openalex.org/W1486523938","https://openalex.org/W1609834788","https://openalex.org/W2003320933","https://openalex.org/W2022020988","https://openalex.org/W2027134814","https://openalex.org/W2031408595","https://openalex.org/W2109943925","https://openalex.org/W2159966040","https://openalex.org/W2760792271","https://openalex.org/W3146366253","https://openalex.org/W3198730179","https://openalex.org/W6992946315"],"related_works":["https://openalex.org/W1603091392","https://openalex.org/W3123056048","https://openalex.org/W4389428786","https://openalex.org/W2364439724","https://openalex.org/W2079825755","https://openalex.org/W4389251307","https://openalex.org/W4386075310","https://openalex.org/W2089892314","https://openalex.org/W2974741803","https://openalex.org/W1983263273"],"abstract_inverted_index":{"Ground":[0],"Penetrating":[1],"Radar":[2],"(GPR)":[3],"is":[4,61,78],"used":[5,125],"for":[6,67,142],"subsurface":[7],"exploration":[8],"across":[9],"different":[10,88,109],"applications":[11],"like":[12,99],"landmines":[13,33,91,172],"detection.":[14],"It":[15],"can":[16,169],"detect":[17,171],"and":[18,34,93,105,146,156,173,177],"deliver":[19],"the":[20,68,117,131,137,140,143,147,166],"response":[21],"of":[22,26,87,90,95,111,119],"any":[23],"buried":[24,107],"kinds":[25],"object,":[27],"however":[28],"it":[29],"cannot":[30],"discriminate":[31,174],"between":[32,175],"false":[35],"alarms.":[36],"In":[37,113],"this":[38],"paper,":[39],"we":[40,123],"propose":[41],"a":[42,64],"detection":[43,121],"method":[44,77,168],"based":[45,72],"on":[46,73,80],"support":[47],"vector":[48],"machine":[49],"(SVM)":[50],"using":[51],"one-dimensional":[52],"GPR":[53],"delivered":[54],"data":[55,60,84],"called":[56],"Ascans.":[57],"Each":[58],"Ascan":[59],"considered":[62],"as":[63,154,158],"feature":[65],"input":[66],"proposed":[69,167],"SVM":[70],"classifier":[71],"RBF":[74],"Kernel.":[75],"This":[76],"tested":[79],"MACADAM":[81],"database.":[82],"Used":[83],"includes":[85],"responses":[86,94],"kind":[89],"(targets)":[92],"other":[96],"objects":[97],"(outliers)":[98],"alusquare,":[100],"wood":[101],"stick,":[102],"pine,":[103],"sodacan":[104],"stone":[106],"in":[108],"types":[110],"soils.":[112],"order":[114],"to":[115],"evaluate":[116],"performance":[118],"our":[120],"method,":[122],"have":[124,151],"three":[126],"evaluation":[127],"measures":[128],"which":[129],"are":[130],"Receiver":[132],"Operating":[133],"Characteristic":[134],"(ROC)":[135],"curves,":[136],"Area":[138],"Under":[139],"Curve":[141],"ROCs":[144],"(AUC)":[145],"running":[148,159],"time.":[149,160],"We":[150],"obtained":[152],"94.71%":[153],"AUC":[155],"1.028s":[157],"So,":[161],"experimental":[162],"results":[163],"prove":[164],"that":[165],"successfully":[170],"targets":[176],"outliers.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}