{"id":"https://openalex.org/W3003314316","doi":"https://doi.org/10.1145/3375998.3376000","title":"Infrared Target Recognition Based On Improved Convolution Neural Network","display_name":"Infrared Target Recognition Based On Improved Convolution Neural Network","publication_year":2019,"publication_date":"2019-12-13","ids":{"openalex":"https://openalex.org/W3003314316","doi":"https://doi.org/10.1145/3375998.3376000","mag":"3003314316"},"language":"en","primary_location":{"id":"doi:10.1145/3375998.3376000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375998.3376000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","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/A5032884269","display_name":"Laixiang Xu","orcid":"https://orcid.org/0000-0001-5412-7689"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Laixiang Xu","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412411","display_name":"Gang Liu","orcid":"https://orcid.org/0000-0001-9743-7847"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Liu","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010930597","display_name":"Bingxu Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxu Cao","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046156570","display_name":"Peigen Zhang","orcid":"https://orcid.org/0000-0002-8969-3100"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peigen Zhang","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358496","display_name":"Sen Liu","orcid":"https://orcid.org/0000-0002-7198-9106"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Liu","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang Henan China","institution_ids":["https://openalex.org/I167383011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032884269"],"corresponding_institution_ids":["https://openalex.org/I167383011"],"apc_list":null,"apc_paid":null,"fwci":0.3967,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76318372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9958000183105469,"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/T13579","display_name":"Image and Video Stabilization","score":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7718466520309448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6668354272842407},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5299946665763855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5244974493980408},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4622063636779785},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45933997631073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44762346148490906},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08626368641853333},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06907963752746582}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7718466520309448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6668354272842407},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5299946665763855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5244974493980408},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4622063636779785},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45933997631073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44762346148490906},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08626368641853333},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06907963752746582}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3375998.3376000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375998.3376000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","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":6,"referenced_works":["https://openalex.org/W2564446447","https://openalex.org/W2728440055","https://openalex.org/W2902084290","https://openalex.org/W2904751442","https://openalex.org/W2939794185","https://openalex.org/W2947073428"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Automatic":[0],"target":[1,22,64,164],"recognition":[2,27,32,118,165],"is":[3,132],"one":[4],"of":[5,20,54,84,93,104,112,160],"the":[6,18,30,37,45,52,68,78,82,85,91,95,101,110,113,117,124,136,143,158],"key":[7],"technologies":[8],"for":[9,157],"infrared":[10,63,161],"imaging":[11,162],"precision":[12],"guided":[13],"weapon":[14],"systems,":[15],"aiming":[16],"at":[17],"problem":[19],"complex":[21],"feature":[23],"modeling":[24],"and":[25,57,66,81,108,146,151],"low":[26],"rate":[28,87,107,131],"in":[29,60],"traditional":[31,137],"algorithm,":[33],"this":[34,49,75,98],"paper":[35,50,76,99],"proposed":[36],"convolution":[38,55,69,126],"neural":[39,70,127],"network":[40,71,128],"method":[41,140],"based":[42],"on":[43,116],"improved":[44,67,125],"Dropout":[46,79,105,114],"layer.":[47],"Firstly,":[48],"adjusted":[51],"number":[53],"layers":[56,59],"pooled":[58],"combination":[61],"with":[62],"characteristics":[65],"ZFNet":[72],"model.":[73,96],"Secondly,":[74],"analyzed":[77,109],"layer":[80,115],"change":[83],"discard":[86,106],"by":[88],"visualization":[89],"during":[90],"process":[92],"training":[94],"Then":[97],"determined":[100],"selection":[102],"principle":[103],"effect":[111],"results.":[119],"The":[120,139],"results":[121],"show":[122],"that":[123],"test":[129],"accuracy":[130],"92.08%,":[133],"which":[134],"outperforms":[135],"algorithm.":[138,166],"obviously":[141],"improves":[142],"classification":[144],"accuracy,":[145],"has":[147],"good":[148],"generalization":[149],"ability":[150],"robustness,":[152],"it":[153],"can":[154],"provide":[155],"reference":[156],"design":[159],"seeker":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}