{"id":"https://openalex.org/W2009245133","doi":"https://doi.org/10.1117/12.884769","title":"Frequency domain electromagnetic induction sensor data feature extraction and processing for improved landmine detection","display_name":"Frequency domain electromagnetic induction sensor data feature extraction and processing for improved landmine detection","publication_year":2011,"publication_date":"2011-05-09","ids":{"openalex":"https://openalex.org/W2009245133","doi":"https://doi.org/10.1117/12.884769","mag":"2009245133"},"language":"en","primary_location":{"id":"doi:10.1117/12.884769","doi":"https://doi.org/10.1117/12.884769","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.884769","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5050921303","display_name":"Stacy L. Tantum","orcid":"https://orcid.org/0009-0005-0187-4038","observed_orcids":["https://orcid.org/0009-0005-0187-4038"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stacy L. Tantum","raw_affiliation_strings":["Duke Univ., United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke Univ., United States","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063514515","display_name":"Kenneth D. Morton","orcid":"https://orcid.org/0000-0002-9352-8669","observed_orcids":["https://orcid.org/0000-0002-9352-8669"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth D. Morton, Jr.","raw_affiliation_strings":["Duke Univ., United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke Univ., United States","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004578492","display_name":"Leslie M. Collins","orcid":"https://orcid.org/0000-0002-9043-6531","observed_orcids":["https://orcid.org/0000-0002-9043-6531"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leslie M. Collins","raw_affiliation_strings":["Duke Univ., United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke Univ., United States","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109056136","display_name":"Peter A. Torrione","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter A. Torrione","raw_affiliation_strings":["Duke Univ., United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke Univ., United States","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":2.6726,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87735584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8017","issue":null,"first_page":"80170B","last_page":"80170B"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9746000170707703,"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":0.9746000170707703,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.009999999776482582,"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"}},{"id":"https://openalex.org/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.003000000026077032,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/frequency-domain-electromagnetic-induction","display_name":"frequency-domain electromagnetic induction","score":0.8510000109672546},{"id":"https://openalex.org/keywords/landmine-detection","display_name":"landmine detection","score":0.9950000047683716},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.8059999942779541},{"id":"https://openalex.org/keywords/basis-functions","display_name":"basis functions","score":0.7170000076293945},{"id":"https://openalex.org/keywords/target-classification","display_name":"target classification","score":0.5669999718666077},{"id":"https://openalex.org/keywords/statistical-classifiers","display_name":"statistical classifiers","score":0.7960000038146973},{"id":"https://openalex.org/keywords/sensor-orientation","display_name":"sensor orientation","score":0.4620000123977661}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8970060348510742},{"id":"https://openalex.org/C43461449","wikidata":"https://www.wikidata.org/wiki/Q2495531","display_name":"EMI","level":3,"score":0.7182247042655945},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6541528701782227},{"id":"https://openalex.org/C184892835","wikidata":"https://www.wikidata.org/wiki/Q1474513","display_name":"Electromagnetic interference","level":2,"score":0.6099503040313721},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5609919428825378},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5603099465370178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5125422477722168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5111692547798157},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5052521824836731},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4804612994194031},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.46716439723968506},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44264334440231323},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4339393079280853},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42696359753608704},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.31074976921081543},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3037570118904114},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.276783287525177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2421962022781372},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19500836730003357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1147688627243042},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.884769","doi":"https://doi.org/10.1117/12.884769","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.884769","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/10","score":0.5099999904632568,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.4300000071525574,"display_name":"Peace, justice, and strong institutions"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337655","display_name":"Research, Development and Engineering Command","ror":"https://ror.org/02rdkx920"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W758634074","https://openalex.org/W1663973292","https://openalex.org/W1985089564","https://openalex.org/W2031340543","https://openalex.org/W2060647575","https://openalex.org/W2085774109","https://openalex.org/W2118338900","https://openalex.org/W2125101937","https://openalex.org/W2140232441","https://openalex.org/W2146332736","https://openalex.org/W2149662723","https://openalex.org/W2155536146","https://openalex.org/W2157445444","https://openalex.org/W2160903348","https://openalex.org/W2799061466","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1976367805","https://openalex.org/W2065599279","https://openalex.org/W1996957501","https://openalex.org/W2028172011","https://openalex.org/W1910488657","https://openalex.org/W2060647575","https://openalex.org/W2149662723","https://openalex.org/W2080136849","https://openalex.org/W2162297431","https://openalex.org/W2113733161"],"abstract_inverted_index":{"Frequency-domain":[0],"electromagnetic":[1],"induction":[2],"(EMI)":[3],"sensors":[4,24],"have":[5],"the":[6,42,57,63,68,75,92],"ability":[7],"to":[8,62],"provide":[9],"target":[10,28,43,64,76,93],"signatures":[11,44],"which":[12],"enable":[13],"discrimination":[14],"of":[15,52,74,91,114],"landmines":[16],"from":[17],"harmless":[18],"clutter.":[19,97,159],"In":[20,36,98],"particular,":[21],"frequency-domain":[22,101,128],"EMI":[23,102,129],"are":[25,60,71,136],"well-suited":[26],"for":[27,89,122,153],"characterization":[29],"by":[30,146],"inverting":[31],"a":[32,49,72,112,126,132],"physics-based":[33,115,143],"signal":[34,39],"model.":[35],"many":[37],"model-based":[38],"processing":[40,108],"paradigms,":[41],"can":[45,83],"be":[46,85],"decomposed":[47],"into":[48],"weighted":[50],"sum":[51],"parameterized":[53],"basis":[54,58,80],"functions,":[55],"where":[56],"functions":[59],"intrinsic":[61],"under":[65],"consideration":[66],"and":[67,107,117],"associated":[69],"weights":[70],"function":[73,81],"sensor":[77,103,130],"orientation.":[78],"The":[79],"parameters":[82],"then":[84],"used":[86],"as":[87,94,156],"features":[88,144],"classification":[90,148],"landmine":[95,157],"or":[96,158],"this":[99],"work,":[100],"data":[104,123],"feature":[105],"extraction":[106],"is":[109],"investigated,":[110],"with":[111,125],"variety":[113],"models":[116],"statistical":[118,147],"classifiers":[119],"considered.":[120],"Results":[121],"measured":[124],"prototype":[127],"at":[131],"standardized":[133],"test":[134],"site":[135],"presented.":[137],"Preliminary":[138],"results":[139],"indicate":[140],"that":[141],"extracting":[142],"followed":[145],"provides":[149],"an":[150],"effective":[151],"approach":[152],"classifying":[154],"targets":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
