Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Samantha Dugelay"'
Publikováno v:
Electronics Letters, Vol 59, Iss 23, Pp n/a-n/a (2023)
Abstract The authors present exploitation of Multiple Views in Single‐Path (MVSP) Synthetic Aperture Sonar (SAS). The authors demonstrate the interest of MVSP SAS for underwater Mine Counter‐Measures (MCM) with unmanned vehicles, to comply with r
Externí odkaz:
https://doaj.org/article/114fd4a44d0c4a47a84c5c8591b6c7ac
Publikováno v:
© IEEE Journal of Oceanic Engineering, 2021, p. 1-21
Articles publicats (D-ATC)
Palomeras Rovira, Narcís Furfaro, Thomas Williams, David P. Carreras Pérez, Marc Dugelay, Samantha 2021 Automatic Target Recognition for Mine Countermeasure Missions using Forward Looking Sonar data IEEE Journal of Oceanic Engineering 1 21
DUGiDocs – Universitat de Girona
instname
Articles publicats (D-ATC)
Palomeras Rovira, Narcís Furfaro, Thomas Williams, David P. Carreras Pérez, Marc Dugelay, Samantha 2021 Automatic Target Recognition for Mine Countermeasure Missions using Forward Looking Sonar data IEEE Journal of Oceanic Engineering 1 21
DUGiDocs – Universitat de Girona
instname
The detection of objects on the seafloor is a complex task. The domain of the detection and classification of naval mines is additionally complicated by the high risk nature of the task. Autonomous underwater vehicles (AUVs) have been used in naval m
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
Mapping underwater targets can be a relevant task for various fields, including mine countermeasures (MCM) operations. However, due to the difficulties posed by unstructured open underwater environments, mapping underwater targets can become particul
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
This work deals with the classification of objects as targets or clutter in synthetic aperture sonar (SAS) imagery using convolutional neural networks (CNNs). First, a new image-annotation tool is developed that allows extra auxiliary information (be
Publikováno v:
Thomas, B, Hunter, A J & Dugelay, S 2020, ' Phase wrap error correction by random sample consensus with application to synthetic aperture sonar micro-navigation ', IEEE Journal of Oceanic Engineering . https://doi.org/10.1109/JOE.2019.2960582
Accurate time delay estimation between signals is crucial for coherent imaging systems such as synthetic aperture sonar (SAS) and synthetic aperture radar (SAR). In such systems, time delay estimates resulting from the cross-correlation of complex si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ebc745ee1c975468f904a97a8989cc1
https://purehost.bath.ac.uk/ws/files/203517287/RansacPhaseUnwrappingCollatedReview1.pdf
https://purehost.bath.ac.uk/ws/files/203517287/RansacPhaseUnwrappingCollatedReview1.pdf
Autor:
Samantha Dugelay, José Melo
Publikováno v:
OCEANS 2019 MTS/IEEE SEATTLE.
Underwater mapping of targets can be a relevant application for various fields, including mine countermeasures operations. However, due to the difficulties posed by unstructured open underwater environments, mapping underwater targets can become part
Publikováno v:
OCEANS 2019 MTS/IEEE SEATTLE.
Automatic target recognition (ATR) in synthetic aperture sonar (SAS) is usually performed in two stages: object detection and target classification. The detector aims to localize all the potential targets whereas the classifier distinguishes between
Publikováno v:
OCEANS 2019 - Marseille.
Capturing high-quality sonar survey data from autonomous underwater vehicles (AUVs) in complex environments, with little to no a priori knowledge, requires built-in adaptations. In particular, in order to locate objects that sit proud on the sea-floo
Publikováno v:
Hunter, A J, Connors, W A & Dugelay, S 2018, ' An operational concept for correcting navigation drift during sonar surveys of the seafloor ', IEEE Journal of Oceanic Engineering, vol. 43, no. 4, pp. 913-926 . https://doi.org/10.1109/JOE.2017.2767798
The accumulation of navigation errors (drift) is a problem in many applications of autonomous underwater vehicles (AUVs), particularly during long-duration underwater surveys. Traditional methods for correcting drift require either surfacing of the v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4de1f83a7016497f7a7ffe3d85f1e6e8
https://purehost.bath.ac.uk/ws/files/160098345/Hunter_IEEE_J_OE_2017_Preprint.pdf
https://purehost.bath.ac.uk/ws/files/160098345/Hunter_IEEE_J_OE_2017_Preprint.pdf
Publikováno v:
The Journal of the Acoustical Society of America. 143(1)
Synthetic Aperture Sonar (SAS) coherently processes the acoustic data acquired along a linear trajectory. The imaging process is in essence an inverse problem where the reflectivity of the seafloor has to be estimated. Several imaging algorithms have