{"id":"https://openalex.org/W4312674029","doi":"https://doi.org/10.1109/lgrs.2022.3229083","title":"A Lightweight Infrared Small Target Detection Network Based on Target Multiscale Context","display_name":"A Lightweight Infrared Small Target Detection Network Based on Target Multiscale Context","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4312674029","doi":"https://doi.org/10.1109/lgrs.2022.3229083"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3229083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3229083","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","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/A5088374868","display_name":"Tianlei Ma","orcid":"https://orcid.org/0000-0003-2414-8926"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlei Ma","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2414-8926","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101885804","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0001-7967-5606"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7967-5606","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103196126","display_name":"Benxue Liu","orcid":"https://orcid.org/0000-0002-4110-0513"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benxue Liu","raw_affiliation_strings":["School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4110-0513","affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":null,"display_name":"Siyuan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Sun","raw_affiliation_strings":["School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":11.2872,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.97820183,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9979000091552734,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/upsampling","display_name":"Upsampling","score":0.9091304540634155},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8634562492370605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.790740430355072},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6528760194778442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6059502363204956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5479795336723328},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5454692244529724},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5331605672836304},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4749565124511719},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3909514546394348},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0727323591709137}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9091304540634155},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8634562492370605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.790740430355072},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6528760194778442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6059502363204956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5479795336723328},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5454692244529724},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5331605672836304},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4749565124511719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3909514546394348},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0727323591709137},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3229083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3229083","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5592651112","display_name":null,"funder_award_id":"61903340","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1978993121","https://openalex.org/W2194775991","https://openalex.org/W2344666353","https://openalex.org/W2630837129","https://openalex.org/W2780677785","https://openalex.org/W2790021535","https://openalex.org/W2900678331","https://openalex.org/W2900684139","https://openalex.org/W2912919760","https://openalex.org/W2991758591","https://openalex.org/W3015788359","https://openalex.org/W3048644861","https://openalex.org/W3088317060","https://openalex.org/W3118934234","https://openalex.org/W3212201356","https://openalex.org/W4206367471","https://openalex.org/W4226043641","https://openalex.org/W4403738039","https://openalex.org/W6739696289","https://openalex.org/W6873441989"],"related_works":["https://openalex.org/W2559156603","https://openalex.org/W4287394948","https://openalex.org/W4300832495","https://openalex.org/W2987852271","https://openalex.org/W2967990525","https://openalex.org/W2949066288","https://openalex.org/W3119356360","https://openalex.org/W3202075396","https://openalex.org/W4214604401","https://openalex.org/W4212888438"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,33,38,58,62,68,81,89,95,107,119,122,129,153,158],"problems":[3],"of":[4,11,40,61,72,91,109,146,152,170],"slow":[5],"detection":[6,17,24,131,134,155,159],"speed":[7],"and":[8,83,137,157],"poor":[9],"robustness":[10,138],"existing":[12,130],"infrared":[13],"(IR)":[14],"small":[15],"target":[16,48,98,110],"methods":[18,132],"in":[19,29,133,139],"complex":[20,141],"environments,":[21],"a":[22,46,74,140],"lightweight":[23],"model":[25,44,144],"MiniIR-net":[26,34,124,147],"is":[27,54,86,116,126,148,161],"proposed":[28,55,123],"this":[30,171],"letter.":[31],"In":[32,64,88],"model,":[35,156],"to":[36,56,66,103,128],"reduce":[37],"number":[39],"parameters":[41],"required":[42],"for":[43,106],"fitting,":[45],"multiscale":[47],"context":[49],"feature":[50,59,69,75,92],"extraction":[51],"(TCVE)":[52],"module":[53],"enrich":[57],"expression":[60],"target.":[63],"addition,":[65],"improve":[67],"mapping":[70,76,93],"capability":[71],"MiniIR-net,":[73],"upsampling":[77],"network":[78,96,125],"by":[79,113,118,163],"fusing":[80],"deep":[82],"shallow":[84],"features":[85,99,111],"designed.":[87],"process":[90],"upsampling,":[94],"uses":[97],"with":[100],"different":[101],"depths":[102],"make":[104],"up":[105],"loss":[108],"caused":[112],"pooling.":[114],"It":[115],"proven":[117],"experiment":[120],"that":[121],"superior":[127],"speed,":[135],"accuracy":[136,160],"environment.":[142],"The":[143,167],"size":[145],"at":[149,164],"least":[150,165],"1/260":[151],"current":[154],"improved":[162],"5%.":[166],"source":[168],"code":[169],"article":[172],"can":[173],"be":[174],"obtained":[175],"athttps://github.com/yangzhen1252/MiniIR-net.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
