{"id":"https://openalex.org/W2014032111","doi":"https://doi.org/10.1109/acc.2014.6858726","title":"Target detection and target type & motion classification: Comparison of feature extraction algorithms","display_name":"Target detection and target type & motion classification: Comparison of feature extraction algorithms","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2014032111","doi":"https://doi.org/10.1109/acc.2014.6858726","mag":"2014032111"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2014.6858726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2014.6858726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 American Control Conference","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/A5100387855","display_name":"Yue Li","orcid":"https://orcid.org/0000-0003-2997-6368"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yue Li","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, US","Dept. of Mech. Eng., Pennsylvania State Univ., University Park, PA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, US","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Dept. of Mech. Eng., Pennsylvania State Univ., University Park, PA, USA#TAB#","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003487011","display_name":"Asok Ray","orcid":"https://orcid.org/0000-0003-4124-0230"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asok Ray","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, US","Dept. of Mech. Eng., Pennsylvania State Univ., University Park, PA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, US","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Dept. of Mech. Eng., Pennsylvania State Univ., University Park, PA, USA#TAB#","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040493490","display_name":"Thomas A. Wettergren","orcid":"https://orcid.org/0000-0002-6623-8412"},"institutions":[{"id":"https://openalex.org/I2799471739","display_name":"Naval Undersea Warfare Center","ror":"https://ror.org/04bnxa153","country_code":"US","type":"funder","lineage":["https://openalex.org/I1328969757","https://openalex.org/I1330347796","https://openalex.org/I2799471739","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas A. Wettergren","raw_affiliation_strings":["Naval Undersea Warfare Center, Newport, RI, US","Naval Undersea Warfare Center (NUWC), Newport, RI, USA"],"affiliations":[{"raw_affiliation_string":"Naval Undersea Warfare Center, Newport, RI, US","institution_ids":["https://openalex.org/I2799471739"]},{"raw_affiliation_string":"Naval Undersea Warfare Center (NUWC), Newport, RI, USA","institution_ids":["https://openalex.org/I2799471739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100387855"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.06535003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1132","last_page":"1137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9943000078201294,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/feature-extraction","display_name":"Feature extraction","score":0.7345626950263977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7161300182342529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7061601281166077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.694884717464447},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.617752730846405},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.556338369846344},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5426954627037048},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5402022004127502},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.46030309796333313},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.45172518491744995}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7345626950263977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7161300182342529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061601281166077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.694884717464447},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.617752730846405},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.556338369846344},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5426954627037048},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5402022004127502},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.46030309796333313},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.45172518491744995},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2014.6858726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2014.6858726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1512617326","https://openalex.org/W1551284826","https://openalex.org/W1560296348","https://openalex.org/W1576772310","https://openalex.org/W1967981731","https://openalex.org/W1976990135","https://openalex.org/W1984204148","https://openalex.org/W2035309264","https://openalex.org/W2049304293","https://openalex.org/W2079430658","https://openalex.org/W2114302345","https://openalex.org/W2118183468","https://openalex.org/W2122092249","https://openalex.org/W2129812935","https://openalex.org/W2137641168","https://openalex.org/W2168877202","https://openalex.org/W2169739344","https://openalex.org/W2171200217","https://openalex.org/W2171357473","https://openalex.org/W4249058433","https://openalex.org/W4295016751","https://openalex.org/W4405513821","https://openalex.org/W6646100278","https://openalex.org/W6684923232"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1968695676","https://openalex.org/W2158177428"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"sensor":[3,44],"network-based":[4],"surveillance":[5],"of":[6,17,30,36,38,77,95,123,133],"target":[7,10,18,67,134,158,161],"detection":[8,19,68,159],"and":[9,20,33,46,89,117,136,160],"type":[11,162],"&":[12,69,163],"motion":[13,164],"classification.":[14,165],"The":[15],"performance":[16,76,153],"classification":[21,49,70,120],"could":[22],"be":[23],"compromised":[24],"(e.g.,":[25],"due":[26],"to":[27],"high":[28],"rates":[29],"false":[31],"alarm":[32],"misclassification),":[34],"because":[35],"inadequacies":[37],"feature":[39,54,85,98],"extraction":[40,55],"from":[41],"(possibly":[42],"noisy)":[43],"data":[45],"subsequent":[47],"pattern":[48,107],"over":[50],"the":[51,66,75,141],"network.":[52],"A":[53],"algorithm,":[56],"called":[57],"symbolic":[58],"dynamic":[59,131],"filtering":[60],"(SDF),":[61],"is":[62,79,100],"investigated":[63],"for":[64,154],"solving":[65],"problem.":[71],"In":[72],"this":[73],"paper,":[74],"SDF":[78,148],"compared":[80],"with":[81,104],"two":[82],"commonly":[83],"used":[84],"extractors,":[86],"namely,":[87,109],"Cepstrum":[88],"principal":[90],"component":[91],"analysis":[92],"(PCA)).":[93],"Each":[94],"these":[96],"three":[97,105],"extractors":[99],"executed":[101],"in":[102,140],"conjunction":[103],"well-known":[106],"classifiers,":[108],"k-nearest":[110],"neighbor":[111],"(k-NN),":[112],"support":[113],"vector":[114],"machine":[115],"(SVM),":[116],"sparse":[118],"representation":[119],"(SRC).":[121],"Results":[122],"numerical":[124],"simulation":[125],"are":[126],"presented":[127],"based":[128],"on":[129],"a":[130,150],"model":[132],"maneuvering":[135],"passive":[137],"sonar":[138],"sensing":[139],"ocean":[142],"environment.":[143],"These":[144],"results":[145],"show":[146],"that":[147],"has":[149],"consistently":[151],"superior":[152],"all":[155],"tasks":[156],"-":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}