{"id":"https://openalex.org/W1976367805","doi":"https://doi.org/10.1117/12.919421","title":"Feature extraction and processing of spatial frequency-domain electromagnetic induction sensor data for improved landmine discrimination","display_name":"Feature extraction and processing of spatial frequency-domain electromagnetic induction sensor data for improved landmine discrimination","publication_year":2012,"publication_date":"2012-05-03","ids":{"openalex":"https://openalex.org/W1976367805","doi":"https://doi.org/10.1117/12.919421","mag":"1976367805"},"language":"en","primary_location":{"id":"doi:10.1117/12.919421","doi":"https://doi.org/10.1117/12.919421","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.919421","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/A5002826254","display_name":"Kenneth A. Colwell","orcid":"https://orcid.org/0000-0001-7384-5854","observed_orcids":["https://orcid.org/0000-0001-7384-5854"]},"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 A. Colwell","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","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/A5078095474","display_name":"Waymond R. Scott","orcid":"https://orcid.org/0000-0001-7391-9657","observed_orcids":["https://orcid.org/0000-0001-7391-9657"]},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Waymond R. Scott","raw_affiliation_strings":["Georgia Institute of Technology (United States)","Georgia Institute of Technology, United States#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology (United States)","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, United States#TAB#","institution_ids":["https://openalex.org/I130701444"]}]},{"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":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05591918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8357","issue":null,"first_page":"835708","last_page":"835708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9731000065803528,"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":0.9731000065803528,"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":0.011300000362098217,"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":0.0031999999191612005,"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":0.8220000267028809},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.925000011920929},{"id":"https://openalex.org/keywords/spatial-data","display_name":"geospatial data","score":0.6330000162124634},{"id":"https://openalex.org/keywords/model-inversion","display_name":"model inversion","score":0.7139999866485596},{"id":"https://openalex.org/keywords/target-signatures","display_name":"target signature","score":0.734000027179718},{"id":"https://openalex.org/keywords/clutter-discrimination","display_name":"clutter discrimination","score":0.5130000114440918},{"id":"https://openalex.org/keywords/target-classification","display_name":"target classification","score":0.3319999873638153}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7903761863708496},{"id":"https://openalex.org/C43461449","wikidata":"https://www.wikidata.org/wiki/Q2495531","display_name":"EMI","level":3,"score":0.6190907955169678},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6118535995483398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6031018495559692},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5815857648849487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726324319839478},{"id":"https://openalex.org/C184892835","wikidata":"https://www.wikidata.org/wiki/Q1474513","display_name":"Electromagnetic interference","level":2,"score":0.521420955657959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5214130878448486},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.4788218140602112},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4545315206050873},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4118180274963379},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30049556493759155},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.26997828483581543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26290154457092285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14393186569213867},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.919421","doi":"https://doi.org/10.1117/12.919421","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.919421","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","display_name":"Reduced inequalities","score":0.6000000238418579}],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2009245133","https://openalex.org/W2065599279","https://openalex.org/W1996957501","https://openalex.org/W2028172011","https://openalex.org/W1910488657","https://openalex.org/W2106898926","https://openalex.org/W2113733161","https://openalex.org/W2080136849","https://openalex.org/W2149662723","https://openalex.org/W1978248580"],"abstract_inverted_index":{"Frequency-domain":[0],"electromagnetic":[1],"induction":[2],"(EMI)":[3],"sensors":[4,24],"have":[5],"been":[6],"shown":[7],"to":[8,62],"provide":[9,91],"target":[10,28,43,64,76,115,171],"signatures":[11,44],"which":[12],"enable":[13],"discrimination":[14],"of":[15,52,74,86,170],"landmines":[16],"from":[17,125],"harmless":[18],"clutter.":[19,119],"In":[20,36,120],"particular,":[21],"frequency-domain":[22,127,140],"EMI":[23,128,141],"are":[25,60,71,148],"well-suited":[26],"for":[27,94,112,134],"characterization":[29],"by":[30],"inverting":[31],"a":[32,49,72,138,144],"physics-based":[33],"signal":[34,39],"model.":[35],"many":[37],"model-based":[38],"processing":[40],"paradigms,":[41],"the":[42,57,63,68,75,84,87,96,103,114],"can":[45,107],"be":[46,108],"decomposed":[47],"into":[48],"weighted":[50],"sum":[51],"parameterized":[53],"basis":[54,58,97,104],"functions,":[55],"where":[56],"functions":[59],"intrinsic":[61],"under":[65],"consideration":[66],"and":[67,167],"associated":[69],"weights":[70],"function":[73,98,105],"sensor":[77,129,142],"orientation.":[78],"When":[79],"spatial":[80,126,163],"data":[81,130,135,164],"is":[82,131],"available,":[83],"diversity":[85],"measured":[88,136],"signals":[89],"may":[90],"more":[92],"information":[93],"estimating":[95],"parameters.":[99],"After":[100],"model":[101,160],"inversion,":[102],"parameters":[106],"used":[109],"as":[110,116],"features":[111],"classifying":[113],"landmine":[117],"or":[118],"this":[121],"work,":[122],"feature":[123],"extraction":[124],"investigated.":[132],"Results":[133],"with":[137],"prototype":[139],"at":[143],"standardized":[145],"test":[146],"site":[147],"presented.":[149],"Preliminary":[150],"results":[151],"indicate":[152],"that":[153],"Structured":[154],"relevance":[155],"vector":[156],"machine":[157],"(sRVM)":[158],"regression":[159],"inversion":[161],"using":[162],"provides":[165],"stable,":[166],"sparse,":[168],"sets":[169],"features.":[172]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
