{"id":"https://openalex.org/W4390939302","doi":"https://doi.org/10.1109/access.2024.3355157","title":"An Infrared Target Images Recognition and Processing Method Based on the Fuzzy Comprehensive Evaluation","display_name":"An Infrared Target Images Recognition and Processing Method Based on the Fuzzy Comprehensive Evaluation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390939302","doi":"https://doi.org/10.1109/access.2024.3355157"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3355157","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3355157","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10401915.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10401915.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103052460","display_name":"Jie Wu","orcid":"https://orcid.org/0009-0008-1220-4007"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Wu","raw_affiliation_strings":["School of Defense, Xi’an Technological University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Defense, Xi’an Technological University, Xi’an, China","institution_ids":["https://openalex.org/I4210110558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101741090","display_name":"Yi He","orcid":"https://orcid.org/0000-0002-3009-4357"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi He","raw_affiliation_strings":["Test Center, National University of Defense Technology, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Test Center, National University of Defense Technology, Xi’an, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069827564","display_name":"Jinlei Zhao","orcid":"https://orcid.org/0000-0002-9228-3524"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinlei Zhao","raw_affiliation_strings":["Xi’an Modern Control Technology Research Institute, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Xi’an Modern Control Technology Research Institute, Xi’an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103052460"],"corresponding_institution_ids":["https://openalex.org/I4210110558"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":9.7718,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97066477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"12126","last_page":"12137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8012531995773315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7151058316230774},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6326293349266052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6305100321769714},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6294530034065247},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4536735713481903},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4192578196525574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3318716883659363}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8012531995773315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7151058316230774},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6326293349266052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6305100321769714},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6294530034065247},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4536735713481903},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4192578196525574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3318716883659363}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3355157","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3355157","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10401915.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bdd7512b56ed4440b577e1f10b998260","is_oa":true,"landing_page_url":"https://doaj.org/article/bdd7512b56ed4440b577e1f10b998260","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 12126-12137 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3355157","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3355157","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10401915.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8704103985","display_name":null,"funder_award_id":"62001365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390939302.pdf","grobid_xml":"https://content.openalex.org/works/W4390939302.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2096653524","https://openalex.org/W2373923238","https://openalex.org/W2905577096","https://openalex.org/W3022727603","https://openalex.org/W3080478207","https://openalex.org/W3113411373","https://openalex.org/W3138256505","https://openalex.org/W3176575436","https://openalex.org/W3195930532","https://openalex.org/W3199174519","https://openalex.org/W3216734715","https://openalex.org/W4308787184","https://openalex.org/W4308961694","https://openalex.org/W4320913258","https://openalex.org/W4383904755","https://openalex.org/W4386038329"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W2110031805","https://openalex.org/W2040020606","https://openalex.org/W4362659915","https://openalex.org/W2050926897","https://openalex.org/W2113071088","https://openalex.org/W2321543601","https://openalex.org/W2972861887","https://openalex.org/W1990016983"],"abstract_inverted_index":{"In":[0],"response":[1],"to":[2,71,116,158,177],"the":[3,59,75,82,90,99,106,113,125,132,137,140,147,160,166,174,193,198],"issues":[4],"of":[5,12,84,124,142,150,168,173,197],"relatively":[6],"low":[7],"image":[8,40,51,176],"contrast,":[9],"blurry":[10],"boundaries":[11],"infrared":[13,38,50,76,85,107,126],"small":[14],"targets,":[15],"and":[16,31,67,73,88,94,164,187,195],"various":[17],"environmental":[18],"noise":[19],"interferences":[20],"in":[21,26,208],"thermal":[22,57],"imaging":[23,210],"systems,":[24],"resulting":[25],"reduced":[27],"target":[28,39,77,86,108,118,127,134,151,161,180,206],"recognition":[29,41],"rates":[30],"tracking":[32,207],"effectiveness.":[33],"This":[34,79],"paper":[35],"proposes":[36],"an":[37,55],"algorithm":[42,60,97,138],"based":[43,130],"on":[44,131],"fuzzy":[45],"comprehensive":[46,155],"assessment.":[47],"Built":[48],"upon":[49],"sequences":[52],"captured":[53],"by":[54],"on-board":[56],"imager,":[58],"employs":[61,153],"grayscale":[62],"processing,":[63],"neighborhood":[64],"mean":[65],"filtering,":[66],"second-order":[68],"difference":[69],"method":[70,103],"filter":[72],"enhance":[74],"images.":[78],"process":[80],"improves":[81],"quality":[83],"images":[87],"enhances":[89],"contrast":[91],"between":[92],"targets":[93],"backgrounds.":[95],"The":[96],"utilizes":[98],"maximum":[100],"interclass":[101],"variance":[102],"for":[104,204],"segmenting":[105],"images,":[109],"combining":[110],"it":[111],"with":[112,171,189],"Canny":[114],"operator":[115],"extract":[117],"edges,":[119],"thereby":[120],"obtaining":[121],"clearer":[122],"details":[123],"edges.":[128],"Finally,":[129],"extracted":[133],"feature":[135],"information,":[136],"calculates":[139],"confidence":[141,162,167],"each":[143],"marked":[144,169],"region,":[145],"establishes":[146],"membership":[148],"function":[149],"likelihood,":[152],"a":[154],"weighted":[156],"approach":[157],"construct":[159],"function,":[163],"compares":[165],"regions":[170],"that":[172],"template":[175],"achieve":[178],"precise":[179],"recognition.":[181],"Experimental":[182],"validation":[183],"against":[184],"theoretical":[185,202],"methods":[186],"comparisons":[188],"other":[190],"approaches":[191],"demonstrate":[192],"effectiveness":[194],"feasibility":[196],"proposed":[199],"method,":[200],"providing":[201],"support":[203],"reliable":[205],"electro-optical":[209],"systems.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}