{"id":"https://openalex.org/W2889780535","doi":"https://doi.org/10.1142/s0218001419500071","title":"Armored Target Detection in Battlefield Environment Based on Top-Down Aggregation Network and Hierarchical Scale Optimization","display_name":"Armored Target Detection in Battlefield Environment Based on Top-Down Aggregation Network and Hierarchical Scale Optimization","publication_year":2018,"publication_date":"2018-09-11","ids":{"openalex":"https://openalex.org/W2889780535","doi":"https://doi.org/10.1142/s0218001419500071","mag":"2889780535"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001419500071","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419500071","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5102777251","display_name":"Haoze Sun","orcid":"https://orcid.org/0000-0002-7037-701X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoze Sun","raw_affiliation_strings":["Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-7037-701X","affiliations":[{"raw_affiliation_string":"Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113537181","display_name":"Tianqing Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianqing Chang","raw_affiliation_strings":["Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065518360","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0003-1961-3176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101041104","display_name":"Yang Guo-zhen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guozhen Yang","raw_affiliation_strings":["Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101611480","display_name":"Bin Han","orcid":"https://orcid.org/0000-0002-0111-6254"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Han","raw_affiliation_strings":["Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Weapon and Control, Army Academy of Armored Force, Beijing 100072, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100767759","display_name":"Junwei Chen","orcid":"https://orcid.org/0000-0003-0574-874X"},"institutions":[{"id":"https://openalex.org/I4210163738","display_name":"China Astronaut Research and Training Center","ror":"https://ror.org/001ycj259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210163738"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Chen","raw_affiliation_strings":["China Astronauts Research and Training Center, Beijing 100094, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Astronauts Research and Training Center, Beijing 100094, P. R. China","institution_ids":["https://openalex.org/I4210163738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.424,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67631696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":"04","first_page":"1950007","last_page":"1950007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.8277974724769592},{"id":"https://openalex.org/keywords/battlefield","display_name":"Battlefield","score":0.7644612193107605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6438894867897034},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5659182667732239},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5484389662742615},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5269014835357666},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.48390159010887146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46265465021133423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4107692241668701},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.367733359336853},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32618236541748047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277974724769592},{"id":"https://openalex.org/C2779669469","wikidata":"https://www.wikidata.org/wiki/Q4895508","display_name":"Battlefield","level":2,"score":0.7644612193107605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6438894867897034},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5659182667732239},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5484389662742615},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5269014835357666},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.48390159010887146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46265465021133423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4107692241668701},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.367733359336853},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32618236541748047},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C195244886","wikidata":"https://www.wikidata.org/wiki/Q41493","display_name":"Ancient history","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001419500071","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419500071","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1864439776","https://openalex.org/W1972619302","https://openalex.org/W2031489346","https://openalex.org/W2049677900","https://openalex.org/W2088049833","https://openalex.org/W2109255472","https://openalex.org/W2125556102","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2168356304","https://openalex.org/W2512351403","https://openalex.org/W2554014392","https://openalex.org/W2555441839","https://openalex.org/W2587248218","https://openalex.org/W2594850557","https://openalex.org/W2605995529","https://openalex.org/W2613825824","https://openalex.org/W2770937285","https://openalex.org/W3154811403"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2022849497","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758"],"abstract_inverted_index":{"Armored":[0],"equipment":[1],"plays":[2],"a":[3,84,108,136,185,204],"crucial":[4],"role":[5],"in":[6,25,39,72,107,222],"the":[7,23,26,47,53,103,115,119,126,145,151,164,177,216,219],"ground":[8],"battlefield.":[9,27],"The":[10,212],"fast":[11,188],"and":[12,33,52,61,150,159,183,187,227],"accurate":[13,60],"detection":[14,32,38,64,189,199,225],"of":[15,50,118,128,147,155,207,218,224],"enemy":[16],"armored":[17,36,70,122,148,210],"targets":[18,71,149],"is":[19,42,66],"significant":[20],"to":[21,29,46,68,140],"take":[22],"initiative":[24],"Comparing":[28],"general":[30],"object":[31],"vehicle":[34],"detection,":[35],"target":[37,123],"battlefield":[40,73],"environment":[41],"more":[43],"challenging":[44,205],"due":[45],"long":[48],"distance":[49],"observation":[51],"complicated":[54],"environment.":[55,74],"In":[56],"this":[57],"paper,":[58],"an":[59],"robust":[62],"automatic":[63],"method":[65,221],"proposed":[67,104,220],"detect":[69],"Firstly,":[75],"inspired":[76],"by":[77,94],"Feature":[78],"Pyramid":[79],"Network":[80,132,170],"(FPN),":[81],"we":[82,113,134,172],"propose":[83,135],"top-down":[85],"aggregation":[86],"(TDA)":[87],"network":[88,106],"which":[89],"enhances":[90],"shallow":[91],"feature":[92,181],"maps":[93],"aggregating":[95],"semantic":[96],"information":[97],"from":[98],"deeper":[99],"layers.":[100],"Then,":[101],"using":[102],"TDA":[105],"basic":[109],"Faster":[110],"R-CNN":[111],"framework,":[112],"explore":[114],"further":[116],"optimization":[117],"approach":[120],"for":[121,125,163,167],"detection:":[124],"Region":[127],"Interest":[129],"(RoI)":[130],"Proposal":[131],"(RPN),":[133],"multi-branch":[137,165],"RPNs":[138],"framework":[139],"generate":[141],"proposals":[142],"that":[143],"match":[144],"scale":[146,180],"specific":[152],"receptive":[153],"field":[154],"each":[156],"aggregated":[157],"layer":[158],"design":[160],"hierarchical":[161],"loss":[162],"RPNs;":[166],"RoI":[168,174],"Classifier":[169],"(RCN),":[171],"apply":[173],"pooling":[175],"on":[176,203],"single":[178],"finest":[179],"map":[182],"construct":[184],"light":[186],"network.":[190],"To":[191],"evaluate":[192],"our":[193],"method,":[194],"comparable":[195],"experiments":[196],"with":[197,209],"state-of-art":[198],"methods":[200],"were":[201],"conducted":[202],"dataset":[206],"images":[208],"targets.":[211],"experimental":[213],"results":[214],"demonstrate":[215],"effectiveness":[217],"terms":[223],"accuracy":[226],"recall":[228],"rate.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
