{"id":"https://openalex.org/W4403535299","doi":"https://doi.org/10.1109/codit62066.2024.10708467","title":"Hardware-aware, deep-learning approaches for image denoising and star detection for star tracker sensor","display_name":"Hardware-aware, deep-learning approaches for image denoising and star detection for star tracker sensor","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4403535299","doi":"https://doi.org/10.1109/codit62066.2024.10708467"},"language":"en","primary_location":{"id":"doi:10.1109/codit62066.2024.10708467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5093767756","display_name":"Besma Guesmi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Besma Guesmi","raw_affiliation_strings":["Ubotica Technologies,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ubotica Technologies,Dublin,Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043631421","display_name":"David Moloney","orcid":"https://orcid.org/0000-0001-7604-370X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Moloney","raw_affiliation_strings":["Ubotica Technologies,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ubotica Technologies,Dublin,Ireland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1127","last_page":"1134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9976000189781189,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9976000189781189,"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/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9524999856948853,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/star","display_name":"Star (game theory)","score":0.6791576743125916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.674370527267456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.602915346622467},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.5663228034973145},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.531482458114624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5185216665267944},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4875566363334656},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12350472807884216},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.09261107444763184}],"concepts":[{"id":"https://openalex.org/C2780897414","wikidata":"https://www.wikidata.org/wiki/Q7600592","display_name":"Star (game theory)","level":2,"score":0.6791576743125916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.674370527267456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.602915346622467},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.5663228034973145},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.531482458114624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5185216665267944},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4875566363334656},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12350472807884216},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.09261107444763184}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit62066.2024.10708467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1482216715","https://openalex.org/W1536680647","https://openalex.org/W1958968158","https://openalex.org/W2021422668","https://openalex.org/W2025768430","https://openalex.org/W2041297422","https://openalex.org/W2057727798","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2117478708","https://openalex.org/W2121345695","https://openalex.org/W2193145675","https://openalex.org/W2250085161","https://openalex.org/W2347495935","https://openalex.org/W2963037989","https://openalex.org/W3004860821","https://openalex.org/W3009131247","https://openalex.org/W3042011474","https://openalex.org/W4289529943","https://openalex.org/W4380300777","https://openalex.org/W6620707391","https://openalex.org/W6634139058","https://openalex.org/W6797590019","https://openalex.org/W6855462042","https://openalex.org/W6922327570"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4389620322","https://openalex.org/W4310846410","https://openalex.org/W3084489576","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2783391579"],"abstract_inverted_index":{"In":[0,106,178],"recent":[1],"years,":[2],"Deep":[3],"Neural":[4],"Networks":[5],"(DNNs)":[6],"approaches":[7],"have":[8],"outperformed":[9],"traditional":[10,236],"techniques":[11],"for":[12,47,58,68,96,113,119,131,146,217],"several":[13,111],"computer":[14],"vision":[15],"problems.":[16],"This":[17,140,212],"has":[18],"been":[19],"made":[20],"possible":[21],"by":[22,29],"the":[23,41,50,53,71,79,90,143,171,176,181,189,193,196,200,206,215,222,230,240,250,256],"increase":[24,80],"of":[25,43,92,173,229],"computational":[26],"resources":[27],"represented":[28],"Graphical":[30],"Processing":[31],"Units":[32],"(GPU)":[33],"that":[34,239,255],"allow":[35],"training":[36],"using":[37,134,205],"large":[38],"datasets":[39],"and":[40,98,116,127,154,247],"availability":[42],"deep":[44],"learning":[45],"accelerators":[46],"inference.":[48],"On":[49],"other":[51,235],"hand,":[52],"attitude":[54,65],"determination":[55,66],"accuracy":[56,95,263],"requirements":[57],"spacecraft":[59,69],"are":[60,185],"increasing.":[61],"The":[62],"most":[63],"accurate":[64,153],"sensor":[67,74,94,100],"is":[70,138,167,203],"so-called":[72],"star":[73,76,93,117,132,197,259],"or":[75],"tracker.":[77],"With":[78],"in":[81,175],"low-cost":[82,99],"satellite":[83],"platforms":[84],"such":[85],"as":[86],"CubeSats,":[87],"research":[88],"into":[89],"improvement":[91],"low-power":[97],"architectures":[101],"remains":[102],"a":[103,265],"relevant":[104],"subject.":[105],"this":[107,179],"context,":[108],"we":[109],"examine":[110],"methods":[112],"noise":[114,245],"reduction":[115],"detection":[118],"improving":[120],"centroiding":[121,218],"performance.":[122],"More":[123],"specifically,":[124],"an":[125,135,152,159],"efficient":[126],"robust":[128],"denoising":[129,232],"method":[130,141,213,242],"images":[133],"Auto-Encoder":[136],"(AE)":[137],"proposed.":[139],"enhances":[142],"image":[144,224],"quality":[145],"systems":[147],"sensitive":[148],"to":[149,169,187],"noise.":[150],"Furthermore,":[151],"lightweight":[155,266],"algorithm":[156],"based":[157],"on":[158],"existing":[160],"YOLO":[161,182],"(You":[162],"Only":[163],"Look":[164],"Once)":[165],"architecture":[166,267],"proposed":[168,231,241,257],"detect":[170],"location":[172],"stars":[174],"image.":[177],"work,":[180],"bounding":[183,201],"boxes":[184],"used":[186],"describe":[188],"space":[190],"region":[191],"around":[192],"stars.":[194],"Subsequently,":[195],"centroid":[198],"within":[199],"box":[202],"computed":[204],"COG":[207],"(Center":[208],"Of":[209],"Gravity)":[210],"method.":[211],"removes":[214],"need":[216],"algorithms":[219],"sliding":[220],"over":[221],"entire":[223],"area.":[225],"An":[226],"extensive":[227],"comparison":[228],"technique":[233],"with":[234,264],"filters":[237],"confirms":[238],"resists":[243],"all":[244],"models":[246],"reconstructs":[248],"well":[249],"corrupted":[251],"images.":[252],"Experiments":[253],"show":[254],"YOLO-based":[258],"detector":[260],"achieves":[261],"high":[262],"without":[268],"any":[269],"extra":[270],"latency.":[271]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
