{"id":"https://openalex.org/W4402159374","doi":"https://doi.org/10.1109/tgrs.2024.3446608","title":"Visual Attention-Guided Sparse Reconstruction for Infrared Small Target Detection","display_name":"Visual Attention-Guided Sparse Reconstruction for Infrared Small Target Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402159374","doi":"https://doi.org/10.1109/tgrs.2024.3446608"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3446608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3446608","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5070122639","display_name":"Yongji Li","orcid":"https://orcid.org/0000-0002-2212-7673"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongji Li","raw_affiliation_strings":["School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2212-7673","affiliations":[{"raw_affiliation_string":"School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748064","display_name":"Luping Wang","orcid":"https://orcid.org/0000-0003-4119-4799"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luping Wang","raw_affiliation_strings":["School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4119-4799","affiliations":[{"raw_affiliation_string":"School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101935349","display_name":"Shichao Chen","orcid":"https://orcid.org/0000-0001-5157-9946"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Chen","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.4813,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.97574054,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":1.0,"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":1.0,"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/T11637","display_name":"Advanced Semiconductor Detectors and Materials","score":0.9948999881744385,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6119527816772461},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5559148788452148},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49035167694091797},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4840068519115448},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.47610482573509216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47205907106399536},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4330357611179352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32572662830352783},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3049052655696869},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.21234974265098572},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13247627019882202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6119527816772461},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5559148788452148},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49035167694091797},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4840068519115448},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.47610482573509216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47205907106399536},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4330357611179352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32572662830352783},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3049052655696869},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.21234974265098572},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13247627019882202}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3446608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3446608","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1978993121","https://openalex.org/W2004580922","https://openalex.org/W2032135614","https://openalex.org/W2049769803","https://openalex.org/W2341998679","https://openalex.org/W2604768956","https://openalex.org/W2741058951","https://openalex.org/W2761013467","https://openalex.org/W2774646044","https://openalex.org/W2782405382","https://openalex.org/W2921709033","https://openalex.org/W2968901045","https://openalex.org/W2991476784","https://openalex.org/W2991758591","https://openalex.org/W2997217064","https://openalex.org/W3007910141","https://openalex.org/W3010079414","https://openalex.org/W3011715129","https://openalex.org/W3021020015","https://openalex.org/W3049595097","https://openalex.org/W3086144474","https://openalex.org/W3088317060","https://openalex.org/W3092404985","https://openalex.org/W3110352253","https://openalex.org/W3111240947","https://openalex.org/W3118335270","https://openalex.org/W3120372452","https://openalex.org/W3124866053","https://openalex.org/W3131633592","https://openalex.org/W3133560625","https://openalex.org/W3145563919","https://openalex.org/W3171950886","https://openalex.org/W3195082104","https://openalex.org/W3211479446","https://openalex.org/W3212201356","https://openalex.org/W3212966035","https://openalex.org/W3216985839","https://openalex.org/W4210543957","https://openalex.org/W4210576512","https://openalex.org/W4212912983","https://openalex.org/W4226043641","https://openalex.org/W4285208873","https://openalex.org/W4312887378","https://openalex.org/W4313506322","https://openalex.org/W4313549920","https://openalex.org/W4313855945","https://openalex.org/W4317794940","https://openalex.org/W4320477396","https://openalex.org/W4366668641","https://openalex.org/W4377235208","https://openalex.org/W4382407262","https://openalex.org/W4389495115","https://openalex.org/W4390660060","https://openalex.org/W4390873529","https://openalex.org/W4394597260"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W2121496884","https://openalex.org/W2387910809"],"abstract_inverted_index":{"Infrared":[0],"(IR)":[1],"search":[2],"and":[3,11,22,41,49,59,145,156,178,183],"track":[4],"system":[5],"are":[6],"widely":[7],"used":[8],"in":[9,19,38,109,122],"aerospace":[10],"defense":[12],"fields.":[13],"IR":[14,39],"small":[15,53,65,120,137,159],"target":[16,138],"detection":[17],"(IRSTD)":[18],"heavy":[20],"clouds":[21],"chaotic":[23],"terrestrial":[24],"environments":[25],"remains":[26],"a":[27,42,70,96,162],"challenging":[28],"task.":[29],"The":[30,127,147],"primary":[31],"reason":[32],"is":[33,169],"the":[34,61,74,82,104,123,131,153,166,173,187,190],"interference":[35,142],"of":[36,44,47,64,84,98,158,189],"clutter":[37,144],"images":[40],"lack":[43,97],"complete":[45],"excavation":[46],"spatial":[48],"structural":[50],"information":[51],"from":[52,143],"targets.":[54,160],"To":[55],"accommodate":[56],"heterogeneous":[57],"backgrounds":[58],"enhance":[60],"feature":[62],"recognition":[63],"targets,":[66],"this":[67],"article":[68],"introduces":[69],"model-driven":[71],"approach":[72],"called":[73],"visual":[75],"attention-guided":[76],"sparse":[77,132],"reconstruction":[78],"(VAG-SR)":[79],"model.":[80,175],"Specifically,":[81],"construction":[83],"holistic":[85],"spatiotemporal":[86],"data":[87],"structures":[88],"maintains":[89],"full":[90],"internal":[91],"correlations":[92],"to":[93,134,140,165,171],"compensate":[94],"for":[95,119],"texture":[99],"knowledge.":[100],"Furthermore,":[101],"based":[102],"on":[103,136,181],"fact":[105],"that":[106],"moving":[107],"targets":[108,121],"sequences":[110],"receive":[111],"more":[112],"attention,":[113],"we":[114],"introduce":[115],"an":[116],"attention":[117,128],"map":[118,129],"subspace":[124,133],"analysis":[125],"framework.":[126],"facilitates":[130],"concentrate":[135],"areas":[139],"mitigate":[141],"noise.":[146],"proposed":[148,174],"objective":[149],"function":[150],"systematically":[151],"considers":[152],"sparsity,":[154],"saliency,":[155],"aggregability":[157],"Finally,":[161],"closed-form":[163],"solution":[164],"optimization":[167],"algorithm":[168],"derived":[170],"solve":[172],"Both":[176],"qualitative":[177],"quantitative":[179],"experiments":[180],"diverse":[182],"real":[184],"scenes":[185],"demonstrate":[186],"superiority":[188],"VAG-SR":[191],"model":[192],"over":[193],"12":[194],"baseline":[195],"methods.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
