{"id":"https://openalex.org/W4403022803","doi":"https://doi.org/10.1109/tgrs.2024.3471786","title":"SCINet: Spatial and Contrast Interactive Super-Resolution Assisted Infrared UAV Target Detection","display_name":"SCINet: Spatial and Contrast Interactive Super-Resolution Assisted Infrared UAV Target Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403022803","doi":"https://doi.org/10.1109/tgrs.2024.3471786"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3471786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3471786","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/A5032109527","display_name":"Houzhang Fang","orcid":"https://orcid.org/0000-0002-7949-8846"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houzhang Fang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-7949-8846","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057205812","display_name":"Lan Ding","orcid":"https://orcid.org/0000-0003-1423-0301"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Ding","raw_affiliation_strings":["iFLYTEK Company Ltd., Hefei, China","iFLYTEK Co., Ltd, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1423-0301","affiliations":[{"raw_affiliation_string":"iFLYTEK Company Ltd., Hefei, China","institution_ids":["https://openalex.org/I39774598"]},{"raw_affiliation_string":"iFLYTEK Co., Ltd, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103807447","display_name":"Xiaolin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0002-7704-635X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049349192","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0001-8542-5937"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8542-5937","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075653923","display_name":"Luxin Yan","orcid":"https://orcid.org/0000-0002-5445-2702"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luxin Yan","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5445-2702","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418917","display_name":"Li Liu","orcid":"https://orcid.org/0000-0003-3331-093X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3331-093X","affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113411977","display_name":"Jinrui Fang","orcid":"https://orcid.org/0009-0002-2695-7460"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinrui Fang","raw_affiliation_strings":["Center for Data Science, New York University, New York City, NY, USA","Center for Data Science, New York University, Manhattan, NY, USA"],"raw_orcid":"https://orcid.org/0009-0002-2695-7460","affiliations":[{"raw_affiliation_string":"Center for Data Science, New York University, New York City, NY, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Center for Data Science, New York University, Manhattan, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":27.0402,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.99480524,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9890999794006348,"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":0.9797999858856201,"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/image-resolution","display_name":"Image resolution","score":0.6662052273750305},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6323752403259277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6194658875465393},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6053093075752258},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5294026136398315},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4669319987297058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4433862268924713},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.43383482098579407},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19270634651184082},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17201942205429077},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08574873208999634}],"concepts":[{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6662052273750305},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6323752403259277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194658875465393},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6053093075752258},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5294026136398315},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4669319987297058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4433862268924713},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.43383482098579407},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19270634651184082},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17201942205429077},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08574873208999634}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3471786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3471786","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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G1186217415","display_name":null,"funder_award_id":"41501371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1393400207","display_name":null,"funder_award_id":"41501371, 62101294 and 61971460","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5914841961","display_name":null,"funder_award_id":"61971460","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6205343464","display_name":null,"funder_award_id":"62101294","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1978993121","https://openalex.org/W1982471090","https://openalex.org/W1992873714","https://openalex.org/W2058928435","https://openalex.org/W2080197848","https://openalex.org/W2083610878","https://openalex.org/W2087380704","https://openalex.org/W2102166818","https://openalex.org/W2121058967","https://openalex.org/W2130150012","https://openalex.org/W2149669120","https://openalex.org/W2157494358","https://openalex.org/W2160635556","https://openalex.org/W2161516371","https://openalex.org/W2214802144","https://openalex.org/W2230477866","https://openalex.org/W2242218935","https://openalex.org/W2527386436","https://openalex.org/W2604768956","https://openalex.org/W2765445670","https://openalex.org/W2774646044","https://openalex.org/W2780544323","https://openalex.org/W2791626681","https://openalex.org/W2796789676","https://openalex.org/W2884561390","https://openalex.org/W2886209123","https://openalex.org/W2886688927","https://openalex.org/W2897261831","https://openalex.org/W2912919760","https://openalex.org/W2952773607","https://openalex.org/W2963786238","https://openalex.org/W2981068491","https://openalex.org/W2982770724","https://openalex.org/W2989676862","https://openalex.org/W3024215945","https://openalex.org/W3025194039","https://openalex.org/W3034971973","https://openalex.org/W3035164309","https://openalex.org/W3035396860","https://openalex.org/W3067079419","https://openalex.org/W3088317060","https://openalex.org/W3092663126","https://openalex.org/W3093778940","https://openalex.org/W3107811908","https://openalex.org/W3110352253","https://openalex.org/W3111354027","https://openalex.org/W3118249006","https://openalex.org/W3133953507","https://openalex.org/W3163720395","https://openalex.org/W3164596300","https://openalex.org/W3180096781","https://openalex.org/W3199532396","https://openalex.org/W3205483686","https://openalex.org/W3214932270","https://openalex.org/W4220827371","https://openalex.org/W4280581786","https://openalex.org/W4285121177","https://openalex.org/W4313065862","https://openalex.org/W4317038477","https://openalex.org/W4319265540","https://openalex.org/W4327785494","https://openalex.org/W4385389169","https://openalex.org/W4387969342","https://openalex.org/W4394625637","https://openalex.org/W6779990023","https://openalex.org/W6798838024","https://openalex.org/W6800033024"],"related_works":["https://openalex.org/W2350437379","https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2369060955","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicle":[2],"(UAV)":[3],"detection":[4,29,49,208,221,243],"based":[5],"on":[6,235],"thermal":[7,31],"infrared":[8,39,67,107,206,237,246],"imaging":[9],"has":[10],"been":[11],"one":[12],"of":[13,30,74,106,138,159,166,174,183,197,245],"the":[14,20,24,46,92,101,114,130,139,143,148,156,160,167,172,184,191,198,220,227,230,242],"most":[15],"important":[16],"sensing":[17],"technologies":[18],"in":[19,177],"anti-UAV":[21],"system.":[22],"However,":[23],"technical":[25],"limitations":[26],"and":[27,59,83,96,118,186,194,240],"long-range":[28],"sensors":[32],"often":[33],"lead":[34],"to":[35,99,128],"acquiring":[36],"low-resolution":[37],"(LR)":[38],"images,":[40],"thereby":[41],"bringing":[42],"great":[43],"challenges":[44],"for":[45,65,169,218],"subsequent":[47],"target":[48,69,133,195],"task.":[50],"In":[51,200],"this":[52],"article,":[53],"we":[54,202],"propose":[55],"a":[56,78,84,151,211],"novel":[57],"spatial":[58,79,102,136,175,192],"contrast":[60,85,126,173],"interactive":[61],"super-resolution":[62],"network":[63,72,209],"(SCINet)":[64],"assisting":[66],"UAV":[68,108,132,207,238,248],"detection.":[70],"The":[71,89,110,135,250],"consists":[73],"two":[75],"main":[76],"subnetworks:":[77],"enhancement":[80,86],"branch":[81,87],"(SEB)":[82],"(CEB).":[88],"SEB":[90,144,168,185],"embeds":[91],"lightweight":[93],"convolution":[94],"module":[95,117,216],"attention":[97],"mechanism":[98],"highlight":[100],"structure":[103],"detail":[104],"features":[105,137,158,176],"targets.":[109,199,249],"proposed":[111],"CEB":[112,149,161,187],"incorporates":[113],"center-oriented":[115],"contrast-aware":[116],"multibranch":[119],"collapsible":[120],"module,":[121],"which":[122],"can":[123,188],"provide":[124],"local":[125],"priors":[127],"reconstruct":[129],"super-resolved":[131],"image.":[134],"intermediate":[140],"layers":[141],"from":[142],"are":[145,162],"integrated":[146],"into":[147,164],"as":[150],"rich":[152],"gradient":[153],"prior.":[154],"Besides,":[155],"output":[157],"aggregated":[163],"those":[165],"further":[170,189],"supplementing":[171],"return.":[178],"Dual-branch":[179],"feature":[180,214],"interaction":[181],"(DBFI)":[182],"enhance":[190],"details":[193],"saliency":[196],"addition,":[201],"also":[203],"introduce":[204],"an":[205],"via":[210],"new":[212],"dual-dimensional":[213],"calibration":[215],"(DFCM)":[217],"boosting":[219],"performance.":[222],"Extensive":[223],"experiments":[224],"demonstrate":[225],"that":[226],"SCINet":[228],"outperforms":[229],"state-of-the-art":[231],"(SOTA)":[232],"SR":[233],"methods":[234],"real":[236],"sequences":[239],"improves":[241],"performance":[244],"small":[247],"code":[251],"is":[252],"available":[253],"athttps://github.com/IVPLaboratory/SCINet.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
