{"id":"https://openalex.org/W4401809483","doi":"https://doi.org/10.1109/atsip62566.2024.10638892","title":"Combined Deep learning architectures using Fusion Rules for Target Recognition in SAR images","display_name":"Combined Deep learning architectures using Fusion Rules for Target Recognition in SAR images","publication_year":2024,"publication_date":"2024-07-11","ids":{"openalex":"https://openalex.org/W4401809483","doi":"https://doi.org/10.1109/atsip62566.2024.10638892"},"language":"en","primary_location":{"id":"doi:10.1109/atsip62566.2024.10638892","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/atsip62566.2024.10638892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05421129/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042199480","display_name":"K. Cheikh","orcid":null},"institutions":[{"id":"https://openalex.org/I125485651","display_name":"University Fr\u00e8res Mentouri Constantine 1","ror":"https://ror.org/017wv6808","country_code":"DZ","type":"education","lineage":["https://openalex.org/I125485651"]},{"id":"https://openalex.org/I4391767747","display_name":"University of Constantine 3","ror":"https://ror.org/04wk25q62","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4391767747"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"K. Cheikh","raw_affiliation_strings":["University of Constantine 1,SISCOM Laboratory,Constantine,Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Constantine 1,SISCOM Laboratory,Constantine,Algeria","institution_ids":["https://openalex.org/I125485651","https://openalex.org/I4391767747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106677065","display_name":"N. Mimoun","orcid":null},"institutions":[{"id":"https://openalex.org/I125485651","display_name":"University Fr\u00e8res Mentouri Constantine 1","ror":"https://ror.org/017wv6808","country_code":"DZ","type":"education","lineage":["https://openalex.org/I125485651"]},{"id":"https://openalex.org/I4391767747","display_name":"University of Constantine 3","ror":"https://ror.org/04wk25q62","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4391767747"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"N. Mimoun","raw_affiliation_strings":["University of Constantine 1,SISCOM Laboratory,Constantine,Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Constantine 1,SISCOM Laboratory,Constantine,Algeria","institution_ids":["https://openalex.org/I125485651","https://openalex.org/I4391767747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093311249","display_name":"Redha AITAHCENE","orcid":null},"institutions":[{"id":"https://openalex.org/I125485651","display_name":"University Fr\u00e8res Mentouri Constantine 1","ror":"https://ror.org/017wv6808","country_code":"DZ","type":"education","lineage":["https://openalex.org/I125485651"]},{"id":"https://openalex.org/I4391767747","display_name":"University of Constantine 3","ror":"https://ror.org/04wk25q62","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4391767747"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"R. Aitahcene","raw_affiliation_strings":["University of Constantine 1,SISCOM Laboratory,Constantine,Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Constantine 1,SISCOM Laboratory,Constantine,Algeria","institution_ids":["https://openalex.org/I125485651","https://openalex.org/I4391767747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076027614","display_name":"Abdelmalek Toumi","orcid":"https://orcid.org/0000-0001-8415-0871"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]},{"id":"https://openalex.org/I4210148559","display_name":"\u00c9cole nationale sup\u00e9rieure de techniques avanc\u00e9es Bretagne","ror":"https://ror.org/059n54003","country_code":"FR","type":"education","lineage":["https://openalex.org/I201181511","https://openalex.org/I4210145102","https://openalex.org/I4210148559"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Toumi","raw_affiliation_strings":["Lab-STICC UMR CNRS 6285 ENSTA Bretagne,Brest,France","Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Technopole Brest Iroise CS 83818 29238 BREST cedex 3 - France)","Lab-STICC_OSE - Equipe Observations Signal & Environnement (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab-STICC UMR CNRS 6285 ENSTA Bretagne,Brest,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I161929037","https://openalex.org/I4210123702","https://openalex.org/I4210148559"]},{"raw_affiliation_string":"Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Technopole Brest Iroise CS 83818 29238 BREST cedex 3 - France)","institution_ids":["https://openalex.org/I161929037","https://openalex.org/I4210123702"]},{"raw_affiliation_string":"Lab-STICC_OSE - Equipe Observations Signal & Environnement (France)","institution_ids":["https://openalex.org/I161929037"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","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/T11038","display_name":"Advanced SAR Imaging Techniques","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/T11609","display_name":"Geophysical Methods and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7172962427139282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6690863966941833},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5566213130950928},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.5532504916191101},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5321758389472961},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5236974954605103},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47245314717292786},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4114542603492737},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3979772627353668},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2123098373413086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172962427139282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6690863966941833},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5566213130950928},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.5532504916191101},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5321758389472961},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5236974954605103},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47245314717292786},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4114542603492737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3979772627353668},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2123098373413086},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/atsip62566.2024.10638892","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/atsip62566.2024.10638892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05421129v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05421129","pdf_url":"https://hal.science/hal-05421129/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP 2024), Jul 2024, Sousse, Tunisia. pp.206-211, ⟨10.1109/ATSIP62566.2024.10638892⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05421129v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05421129","pdf_url":"https://hal.science/hal-05421129/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP 2024), Jul 2024, Sousse, Tunisia. pp.206-211, ⟨10.1109/ATSIP62566.2024.10638892⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401809483.pdf"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2078376347","https://openalex.org/W2097022708","https://openalex.org/W2111847198","https://openalex.org/W2124648367","https://openalex.org/W2766918832","https://openalex.org/W2803809291","https://openalex.org/W2889079306","https://openalex.org/W3036609238","https://openalex.org/W4388876965"],"related_works":["https://openalex.org/W3137365474","https://openalex.org/W2886347302","https://openalex.org/W2784759481","https://openalex.org/W1545594509","https://openalex.org/W3038591045","https://openalex.org/W1988723959","https://openalex.org/W2053024573","https://openalex.org/W4387802373","https://openalex.org/W2773828237","https://openalex.org/W2788731446"],"abstract_inverted_index":{"In":[0,62],"radar":[1,39,48],"image":[2,75],"detection":[3,50],"and":[4,16,45,51,90,138,142],"classification":[5,52,157],"systems,":[6],"one":[7],"of":[8,18,38,130,150,159,165],"the":[9,14,35,86,106,110,121,128,135,148,151,163],"main":[10],"challenges":[11],"lies":[12],"in":[13],"analysis":[15],"interpretation":[17],"captured":[19],"images,":[20],"whether":[21],"for":[22,47,70,105],"moving":[23],"or":[24],"stationary":[25],"targets.":[26],"This":[27],"challenge":[28],"has":[29],"become":[30],"increasingly":[31],"complex":[32],"due":[33],"to":[34,101,119],"large":[36],"volumes":[37],"data":[40,67],"processed.":[41],"Consequently,":[42],"various":[43],"techniques":[44,69],"methods":[46],"target":[49],"have":[53],"been":[54],"adopted,":[55],"particularly":[56],"those":[57],"utilizing":[58],"artificial":[59],"intelligence":[60],"paradigms.":[61],"this":[63,131],"context,":[64],"we":[65,133],"explore":[66],"fusion":[68,103,111],"Synthetic":[71],"Aperture":[72],"Radar":[73],"(SAR)":[74],"classification.":[76],"We":[77],"propose":[78],"a":[79,102,113,155],"novel":[80],"parallel":[81],"architecture":[82],"featuring":[83],"three":[84],"classifiers:":[85],"basic":[87],"CNN,":[88],"Inception-v3,":[89],"ResNet":[91],"50.":[92],"The":[93],"elementary":[94],"decisions":[95,122],"from":[96,123],"each":[97,166],"classifier":[98],"are":[99],"sent":[100],"center":[104],"final":[107],"decision.":[108],"At":[109],"center,":[112],"majority":[114],"voting":[115],"system":[116],"is":[117],"applied":[118],"consolidate":[120],"these":[124],"classifiers.":[125],"To":[126],"evaluate":[127],"performance":[129,164],"approach,":[132,153],"use":[134],"MSTAR":[136],"(Moving":[137],"Stationnary":[139],"Target":[140],"Acquisition":[141],"Recognition)":[143],"dataset.":[144],"Simulation":[145],"results":[146],"demonstrate":[147],"effectiveness":[149],"proposed":[152],"achieving":[154],"correct":[156],"rate":[158],"99.23%,":[160],"which":[161],"surpasses":[162],"individual":[167],"CNN":[168],"model.":[169]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}