A new Deep Learning Neural Network Architecture for Seafloor Characterisation

Yoann Arhant; Xavier Neyt; Aleksandra Pizurica

doi:10.14339/STO-MP-SET-311

A new Deep Learning Neural Network Architecture for Seafloor Characterisation

Yoann Arhant, Xavier Neyt, Aleksandra Pizurica

Radar Signal Processing

University of Ghent

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage

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Originele taal-2	Engels
Titel	Proceedings of the NATO Military Sensing Symposium 2023
Uitgeverij	NATO Science and Technology Organization
Aantal pagina's	4
ISBN van elektronische versie	978-92-837-2462-9
DOI's	https://doi.org/10.14339/STO-MP-SET-311
Status	Gepubliceerd - 2 okt. 2023
Evenement	NATO Military Sensing Symposium 2023 - IEE, Savoy Place, London, Verenigd Koninkrijk Duur: 29 mrt. 2023 → 31 mrt. 2023 https://www.sto.nato.int/_layouts/listform.aspx?PageType=4&ListId={B2AAC100-BE82-43CE-886F-0A467BD6BAA9}&ID=17052

Congres

Congres	NATO Military Sensing Symposium 2023
Verkorte titel	NATO MSS
Land/Regio	Verenigd Koninkrijk
Stad	London
Periode	29/03/23 → 31/03/23
Internet adres	https://www.sto.nato.int/_layouts/listform.aspx?PageType=4&ListId={B2AAC100-BE82-43CE-886F-0A467BD6BAA9}&ID=17052

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10.14339/STO-MP-SET-311

MP-SET-311-MSS-092Definitieve gepubliceerde versie, 2,92 MBLicentie: CC BY-NC-ND

https://www.sto.nato.int/publications/STO%20Meeting%20Proceedings/Forms/Meeting%20Proceedings%20Document%20Set/docsethomepage.aspx?ID=45695&FolderCTID=0x0120D5200078F9E87043356C409A0D30823AFA16F602008CF184CAB7588E468F5E9FA364E05BA5&List=7e2cc123-6186-4c30-8082-1ba072228ca7&RootFolder=https://www.sto.nato.int/publications/STO%20Meeting%20Proceedings/STO-MP-SET-311

DAP/21-11: Automatic, small-scale sea-floor characterization from high-resolution sonar data
Lopera Tellez, O. (Promotor), Neyt, X. (Promotor) & Arhant, Y. (Onderzoeker)
1/09/21 → 31/08/25
Project: Onderzoek

Citeer dit

@inproceedings{4cd09139afa948eab6d0360495e12284,

title = "A new Deep Learning Neural Network Architecture for Seafloor Characterisation",

author = "Yoann Arhant and Xavier Neyt and Aleksandra Pizurica",

year = "2023",

month = oct,

day = "2",

doi = "10.14339/STO-MP-SET-311",

language = "English",

booktitle = "Proceedings of the NATO Military Sensing Symposium 2023",

publisher = "NATO Science and Technology Organization",

note = "NATO Military Sensing Symposium 2023, NATO MSS ; Conference date: 29-03-2023 Through 31-03-2023",

url = "https://www.sto.nato.int/_layouts/listform.aspx?PageType=4&ListId={B2AAC100-BE82-43CE-886F-0A467BD6BAA9}&ID=17052",

}

TY - GEN

T1 - A new Deep Learning Neural Network Architecture for Seafloor Characterisation

AU - Arhant, Yoann

AU - Neyt, Xavier

AU - Pizurica, Aleksandra

PY - 2023/10/2

Y1 - 2023/10/2

U2 - 10.14339/STO-MP-SET-311

DO - 10.14339/STO-MP-SET-311

M3 - Conference contribution

BT - Proceedings of the NATO Military Sensing Symposium 2023

PB - NATO Science and Technology Organization

T2 - NATO Military Sensing Symposium 2023

Y2 - 29 March 2023 through 31 March 2023

ER -

A new Deep Learning Neural Network Architecture for Seafloor Characterisation

Congres

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Projecten

DAP/21-11: Automatic, small-scale sea-floor characterization from high-resolution sonar data

Citeer dit