{"id":"https://openalex.org/W2187749902","doi":"https://doi.org/10.1109/wcsp.2015.7341261","title":"A new method for target association using gridding association domain and template matching","display_name":"A new method for target association using gridding association domain and template matching","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2187749902","doi":"https://doi.org/10.1109/wcsp.2015.7341261","mag":"2187749902"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2015.7341261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Wireless Communications &amp; Signal Processing (WCSP)","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/A5103151002","display_name":"Fan Meng","orcid":"https://orcid.org/0000-0002-4818-7009"},"institutions":[{"id":"https://openalex.org/I4210153872","display_name":"Jiangsu Maritime Institute","ror":"https://ror.org/04pekda06","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Meng","raw_affiliation_strings":["NanJing Marine Radar Institute, NanJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NanJing Marine Radar Institute, NanJing, China","institution_ids":["https://openalex.org/I4210153872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100902309","display_name":"Tinghui Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tinghui Yin","raw_affiliation_strings":["PLA University of Science and Technology, NanJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA University of Science and Technology, NanJing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101659937","display_name":"Xue Ni","orcid":"https://orcid.org/0000-0002-7524-3360"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Ni","raw_affiliation_strings":["PLA University of Science and Technology, NanJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA University of Science and Technology, NanJing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaocui Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaocui Huang","raw_affiliation_strings":["PLA University of Science and Technology, NanJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA University of Science and Technology, NanJing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334183","display_name":"Hui Chen","orcid":"https://orcid.org/0000-0002-7108-4067"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Chen","raw_affiliation_strings":["PLA University of Science and Technology, NanJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA University of Science and Technology, NanJing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.0649251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4728","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/association","display_name":"Association (psychology)","score":0.7292048335075378},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7073225975036621},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.6694639921188354},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.6655001640319824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6550889015197754},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6293573379516602},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5844770669937134},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.49875831604003906},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4631457030773163},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4224969744682312},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3984089493751526},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3223263919353485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14612174034118652},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0954524576663971}],"concepts":[{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.7292048335075378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7073225975036621},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.6694639921188354},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.6655001640319824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6550889015197754},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6293573379516602},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5844770669937134},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.49875831604003906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4631457030773163},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4224969744682312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3984089493751526},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3223263919353485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14612174034118652},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0954524576663971},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2015.7341261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Wireless Communications &amp; Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1533203744","https://openalex.org/W1570513731","https://openalex.org/W1969651434","https://openalex.org/W2003382136","https://openalex.org/W2011796292","https://openalex.org/W2036881328","https://openalex.org/W2049975590","https://openalex.org/W2063647242","https://openalex.org/W2090430096","https://openalex.org/W2151757185"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W2389084676","https://openalex.org/W1998764991","https://openalex.org/W2352562594","https://openalex.org/W2802511870","https://openalex.org/W2031358465","https://openalex.org/W2375117482","https://openalex.org/W2372581239","https://openalex.org/W286567303"],"abstract_inverted_index":{"The":[0,107],"accuracy":[1,117],"of":[2,12,70,118],"target":[3,15,56,78,100,119],"association":[4,16,36,40,51,101,120],"is":[5,91,102],"important":[6],"to":[7,27,68,72,94],"the":[8,21,46,58,61,77,84,89,95,111,116,122],"stability":[9],"and":[10,42,60,88],"precision":[11],"track.":[13],"Traditional":[14],"methods":[17],"are":[18,53,66,81],"based":[19],"on":[20],"trace,":[22],"but":[23],"these":[24],"usually":[25],"lead":[26],"fault":[28],"correlation.":[29],"This":[30],"paper":[31],"develops":[32],"a":[33],"new":[34],"track":[35],"approach":[37,113],"using":[38],"gridding":[39,50],"domain":[41],"template":[43,90,105],"matching.":[44,106],"First,":[45],"3":[47,49],"by":[48,55,83,104],"domains":[52,65],"founded":[54],"as":[57],"center,":[59],"radar":[62],"data":[63],"in":[64,121],"mapped":[67],"image":[69,85],"0":[71],"255":[73],"gray":[74],"grades.":[75],"Then,":[76],"feature":[79],"parameters":[80],"detected":[82],"processing":[86],"algorithm,":[87],"established":[92],"according":[93],"historical":[96],"characteristic":[97],"parameters.":[98],"Finally,":[99],"achieved":[103],"experiment":[108],"shows":[109],"that":[110],"proposed":[112],"has":[114],"improved":[115],"actual":[123],"environment.":[124]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
