{"id":"https://openalex.org/W2075975646","doi":"https://doi.org/10.1117/12.487181","title":"Model-based statistical signal processing for UXO discrimination: performance results from the JPG-V demonstration","display_name":"Model-based statistical signal processing for UXO discrimination: performance results from the JPG-V demonstration","publication_year":2003,"publication_date":"2003-09-15","ids":{"openalex":"https://openalex.org/W2075975646","doi":"https://doi.org/10.1117/12.487181","mag":"2075975646"},"language":"en","primary_location":{"id":"doi:10.1117/12.487181","doi":"https://doi.org/10.1117/12.487181","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.487181","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/A5100456134","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0001-7090-197X","observed_orcids":["https://orcid.org/0000-0001-7090-197X"]},"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":"Yan Zhang","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/A5016448581","display_name":"Lawrence Carin","orcid":"https://orcid.org/0000-0001-6277-7948","observed_orcids":["https://orcid.org/0000-0001-6277-7948"]},"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":"Lawrence Carin","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":1.6746,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80313808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5089","issue":null,"first_page":"1116","last_page":"1116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9800000190734863,"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":0.9800000190734863,"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":0.007600000128149986,"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/T12692","display_name":"Magnetic Field Sensors Techniques","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/unexploded-ordnance-detection","display_name":"unexploded ordnance detection","score":0.949999988079071},{"id":"https://openalex.org/keywords/uxo-discrimination","display_name":"UXO discrimination","score":0.9520000219345093},{"id":"https://openalex.org/keywords/false-alarm-reduction","display_name":"false alarm reduction","score":0.6880000233650208},{"id":"https://openalex.org/keywords/magnetometer-data","display_name":"magnetometer data","score":0.5580000281333923},{"id":"https://openalex.org/keywords/electromagnetic-induction-sensors","display_name":"electromagnetic induction sensors","score":0.8669999837875366},{"id":"https://openalex.org/keywords/generalized-likelihood-ratio-test","display_name":"generalized likelihood ratio test","score":0.8309999704360962},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9990000128746033},{"id":"https://openalex.org/keywords/clutter-discrimination","display_name":"clutter discrimination","score":0.41999998688697815},{"id":"https://openalex.org/keywords/ground-truth","display_name":"ground truth","score":0.3059999942779541}],"concepts":[{"id":"https://openalex.org/C2775977338","wikidata":"https://www.wikidata.org/wiki/Q2302880","display_name":"Unexploded ordnance","level":2,"score":0.9896695613861084},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8883395791053772},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.7625154256820679},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6651675701141357},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.6628752946853638},{"id":"https://openalex.org/C105125183","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Statistical signal processing","level":4,"score":0.6272785663604736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6107369065284729},{"id":"https://openalex.org/C153946474","wikidata":"https://www.wikidata.org/wiki/Q333921","display_name":"Magnetometer","level":3,"score":0.6006603837013245},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5066321492195129},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4709887206554413},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.4419524073600769},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4281575083732605},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4202840328216553},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.41770124435424805},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4120384156703949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4102534055709839},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4068329930305481},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37397676706314087},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21435701847076416},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20081162452697754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12986087799072266},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11531829833984375},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.11318144202232361},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07935094833374023},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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:10.1117/12.487181","doi":"https://doi.org/10.1117/12.487181","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.487181","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":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320333449","display_name":"Strategic Environmental Research and Development Program","ror":"https://ror.org/00ew61678"},{"id":"https://openalex.org/F4320337628","display_name":"U.S. Naval Research Laboratory","ror":"https://ror.org/04d23a975"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1500551892","https://openalex.org/W1563088657","https://openalex.org/W1975315360","https://openalex.org/W2116967699","https://openalex.org/W2135338311","https://openalex.org/W2141639776","https://openalex.org/W2157445444","https://openalex.org/W2491908944"],"related_works":["https://openalex.org/W2119930105","https://openalex.org/W758634074","https://openalex.org/W2141639776","https://openalex.org/W2025052453","https://openalex.org/W2047994248","https://openalex.org/W311385830","https://openalex.org/W334806663","https://openalex.org/W114736295","https://openalex.org/W2140014620","https://openalex.org/W4253881650"],"abstract_inverted_index":{"Detection":[0],"and":[1,27,30,60,83,145,184,211],"remediation":[2,40],"of":[3,104,198,227,239],"unexploded":[4],"ordnance":[5],"(UXO)":[6],"represents":[7],"a":[8,163],"major":[9],"challenge.":[10],"The":[11,127],"detection":[12,238],"problem":[13],"is":[14,32,134,203],"exacerbated":[15],"by":[16,110],"the":[17,105,112,121,131,190,199,209,212,220,225],"fact":[18],"that":[19,167],"on":[20,159],"sites":[21],"contaminated":[22],"with":[23,117,236],"UXO,":[24],"extensive":[25],"surface":[26],"sub-surface":[28],"clutter":[29,49],"shrapnel":[31],"also":[33],"present.":[34],"Traditional":[35],"methods":[36],"used":[37],"for":[38,175,185,205],"UXO":[39,45,241],"have":[41],"difficulty":[42],"distinguishing":[43],"buried":[44],"from":[46,54,81,152,219,232],"these":[47],"anthropic":[48],"items":[50],"as":[51,53],"well":[52],"naturally":[55],"occurring":[56],"magnetic":[57],"geologic":[58],"noise,":[59],"thus":[61],"incur":[62],"prohibitively":[63],"high":[64],"false":[65,100,200,228],"alarm":[66,101,201],"rates.":[67],"In":[68],"this":[69],"research,":[70],"model-based":[71],"statistical":[72,128,138],"signal":[73],"processing":[74],"techniques":[75],"are":[76,108,173],"applied":[77],"to":[78,90,92,149,234],"field":[79,165],"data":[80,115,160,218],"magnetometer":[82],"electromagnetic":[84],"induction":[85],"(EMI)":[86],"sensors":[87],"in":[88,99,130,162,178,188,222],"order":[89],"determine":[91],"what":[93],"degree":[94],"such":[95],"an":[96,118],"approach":[97,155],"results":[98],"mitigation.":[102],"Features":[103],"target":[106],"signatures":[107],"extracted":[109],"inverting":[111],"measured":[113],"sensor":[114],"associated":[116,122],"anomaly":[119],"using":[120,137,217],"physical,":[123],"or":[124],"forward,":[125],"model.":[126],"uncertainty":[129],"feature":[132],"space":[133],"explicitly":[135],"treated":[136],"processors,":[139],"including":[140],"generalized":[141],"likelihood":[142],"ratio":[143],"tests":[144],"support":[146],"vector":[147],"machines,":[148],"discriminate":[150],"targets":[151,229],"clutter.":[153],"This":[154],"has":[156],"been":[157],"evaluated":[158],"collected":[161],"recent":[164],"trial":[166],"was":[168,182,193,230],"performed":[169],"at":[170],"JPG.":[171],"Results":[172],"presented":[174],"one":[176,223],"area":[177],"which":[179,189],"ground":[180,191],"truth":[181,192],"known,":[183],"two":[186,206],"others":[187],"not":[194],"known.":[195],"Substantial":[196],"reduction":[197],"rate":[202],"achieved":[204],"different":[207],"platforms,":[208],"GEM-3":[210,221],"MTADS":[213],"system.":[214],"For":[215],"example,":[216],"area,":[224],"number":[226],"reduced":[231],"181":[233],"20":[235],"100%":[237],"all":[240],"objects.":[242]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
