{"id":"https://openalex.org/W4413120596","doi":"https://doi.org/10.1109/tgrs.2025.3596902","title":"Language-Driven Motion Prior Knowledge Learning for Moving Infrared Small Target Detection","display_name":"Language-Driven Motion Prior Knowledge Learning for Moving Infrared Small Target Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413120596","doi":"https://doi.org/10.1109/tgrs.2025.3596902"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3596902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3596902","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/A5006547546","display_name":"Shengjia Chen","orcid":"https://orcid.org/0000-0002-8083-7905"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjia Chen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8083-7905","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036253906","display_name":"Luping Ji","orcid":"https://orcid.org/0000-0002-1200-5218"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luping Ji","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-1200-5218","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106743874","display_name":"Shuang Peng","orcid":"https://orcid.org/0000-0003-2694-3923"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Peng","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2694-3923","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012229938","display_name":"Sicheng Zhu","orcid":"https://orcid.org/0009-0004-3107-734X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sicheng Zhu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0004-3107-734X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4760-8702","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077095604","display_name":"Yongsheng Sang","orcid":"https://orcid.org/0000-0002-6266-2638"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Sang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6266-2638","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":12.2414,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.9800929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9639999866485596,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9241999983787537,"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":0.6412516832351685},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.540560781955719},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4855189323425293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4783189594745636},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4621364176273346},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4583399295806885},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1950257122516632},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16995930671691895},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1514996588230133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6412516832351685},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.540560781955719},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4855189323425293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4783189594745636},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4621364176273346},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4583399295806885},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1950257122516632},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16995930671691895},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1514996588230133}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3596902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3596902","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":[{"id":"https://openalex.org/G2227880747","display_name":null,"funder_award_id":"2022004","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"},{"id":"https://openalex.org/G2477231440","display_name":null,"funder_award_id":"62276048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6549383760","display_name":null,"funder_award_id":"62476049","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"},{"id":"https://openalex.org/F4320322922","display_name":"Department of Science and Technology of Sichuan Province","ror":"https://ror.org/04323m874"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1976303724","https://openalex.org/W1992873714","https://openalex.org/W2041560658","https://openalex.org/W2044338621","https://openalex.org/W2058928435","https://openalex.org/W2080197848","https://openalex.org/W2087305065","https://openalex.org/W2103104224","https://openalex.org/W2250539671","https://openalex.org/W2540854551","https://openalex.org/W2790021535","https://openalex.org/W2912919760","https://openalex.org/W2991002474","https://openalex.org/W2992263340","https://openalex.org/W3046064342","https://openalex.org/W3088172692","https://openalex.org/W3118934234","https://openalex.org/W3124866053","https://openalex.org/W3171950886","https://openalex.org/W4212863773","https://openalex.org/W4285406065","https://openalex.org/W4309475320","https://openalex.org/W4312956471","https://openalex.org/W4313065862","https://openalex.org/W4313506322","https://openalex.org/W4313855945","https://openalex.org/W4317794940","https://openalex.org/W4318765496","https://openalex.org/W4372260328","https://openalex.org/W4372267081","https://openalex.org/W4381415904","https://openalex.org/W4385988147","https://openalex.org/W4388756758","https://openalex.org/W4390603723","https://openalex.org/W4391376377","https://openalex.org/W4393148032","https://openalex.org/W4394597260","https://openalex.org/W4394698940","https://openalex.org/W4396629505","https://openalex.org/W4399360729","https://openalex.org/W4399598133","https://openalex.org/W4400021290","https://openalex.org/W4400438626","https://openalex.org/W4401596737","https://openalex.org/W4402733568","https://openalex.org/W4405754207","https://openalex.org/W4406739753","https://openalex.org/W4409346773","https://openalex.org/W4409366138","https://openalex.org/W4411244821","https://openalex.org/W6640963894","https://openalex.org/W6755207826","https://openalex.org/W6791353385","https://openalex.org/W6798838024","https://openalex.org/W6803953248","https://openalex.org/W6851592950"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Different":[0],"from":[1,72],"traditional":[2,131],"object":[3],"detection,":[4],"pure":[5],"vision":[6,56,77,148],"is":[7,218],"often":[8,34,83,222],"not":[9],"enough":[10],"to":[11,18,42,87,145,150,169,199],"infrared":[12,52,189],"small":[13,20,53,190],"target":[14,21,31,165],"detection":[15,89],"(ISTD),":[16],"due":[17],"the":[19,46,73,102,136,152,162,170,180,186,225],"size":[22],"and":[23,95,211],"weak":[24],"background":[25],"contrast.":[26],"For":[27],"promoting":[28],"performance,":[29],"more":[30,85,201],"representations":[32,38,71,81],"are":[33,235],"needed.":[35],"Currently,":[36],"motion":[37,70,80,107,153,166,184,187,203],"have":[39,60],"been":[40],"proved":[41],"be":[43,84,193],"one":[44],"of":[45,156,164,176,182,188],"most":[47],"potential":[48],"feature":[49],"patterns":[50],"for":[51,142],"targets.":[54,157],"Besides":[55],"features,":[57,78],"existing":[58],"methods":[59],"an":[61,124],"obvious":[62],"weakness":[63],"that":[64,214],"they":[65],"could":[66,82,192,221],"only":[67],"capture":[68],"coarse":[69],"temporal":[74],"domain.":[75],"By":[76],"fine":[79,202],"effective":[86],"enhance":[88],"performance.":[90],"To":[91,118],"overcome":[92],"this":[93],"weakness,":[94],"inspired":[96],"by":[97,196],"prevalent":[98],"vision-language":[99,104],"models":[100],"(VLMs),":[101],"first":[103],"framework":[105],"with":[106],"prior":[108,154,177],"knowledge":[109,155],"learning":[110],"(MoPKL)":[111],"was":[112],"proposed":[113],"in":[114],"our":[115,215,229],"previous":[116],"work.":[117],"further":[119,194],"extend":[120],"it,":[121],"we":[122],"repropose":[123],"improved":[125],"version,":[126],"i.e.,":[127],"iMoPKL.":[128],"Breaking":[129],"through":[130],"pure-vision":[132],"modality,":[133],"it":[134,160],"utilizes":[135],"homogeneous":[137],"language":[138,171],"descriptions,":[139],"specially":[140],"formatted":[141],"moving":[143],"targets,":[144],"directionally":[146],"guide":[147],"channels":[149],"learn":[151],"In":[158],"detail,":[159],"learns":[161],"distribution":[163],"reconstruction":[167],"corresponding":[168],"description":[172],"as":[173],"a":[174],"type":[175],"knowledge.":[178],"With":[179],"facilitation":[181],"language-driven":[183],"alignment,":[185],"targets":[191],"refined":[195],"motion-relation":[197],"learning,":[198],"generate":[200],"representations.":[204],"The":[205],"extensive":[206],"experiments":[207],"on":[208],"ITSDT-15K,":[209],"DAUB-R,":[210],"IRDST-H":[212],"show":[213],"improvement":[216],"version":[217],"effective.":[219],"It":[220],"obviously":[223],"outperform":[224],"other":[226],"methods,":[227],"including":[228],"original":[230],"MoPKL.":[231],"Our":[232],"source":[233],"codes":[234],"available":[236],"athttps://github.com/UESTC-nnLab/MoPKL":[237]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
