2018
DOI: 10.1016/j.apor.2018.07.003
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Identification of underwater vehicles using surface wave pattern

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Cited by 10 publications
(3 citation statements)
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“…In the literature [ 21 ], based on the analysis of the joint linear Kelvin wake kinematics and water-wave dispersion relationship, a hybrid method is proposed to decompose and reconstruct the ship wake features in the spectral, spatial, and SAR image domains, which improves the extraction efficiency of the ship wake information and the estimation accuracy of the ship parameters. In the literature [ 22 ], the possibility of using wake information for underwater vehicle detection was investigated and an algorithm for identifying the shape, size, speed, and dive depth of underwater vehicles using surface waves was proposed. In the literature [ 23 ], a sea surface target motion parameter estimation algorithm was proposed to perform a two-level low-rank plus sparse decomposition of the wake in SAR images using Radon transform, which effectively improves the detection accuracy of wake.…”
Section: Related Workmentioning
confidence: 99%
“…In the literature [ 21 ], based on the analysis of the joint linear Kelvin wake kinematics and water-wave dispersion relationship, a hybrid method is proposed to decompose and reconstruct the ship wake features in the spectral, spatial, and SAR image domains, which improves the extraction efficiency of the ship wake information and the estimation accuracy of the ship parameters. In the literature [ 22 ], the possibility of using wake information for underwater vehicle detection was investigated and an algorithm for identifying the shape, size, speed, and dive depth of underwater vehicles using surface waves was proposed. In the literature [ 23 ], a sea surface target motion parameter estimation algorithm was proposed to perform a two-level low-rank plus sparse decomposition of the wake in SAR images using Radon transform, which effectively improves the detection accuracy of wake.…”
Section: Related Workmentioning
confidence: 99%
“…Querard et al [29] have stated that standard k-ε turbulence model is useful by means of computational time when compared with similar models. Standard k-ε turbulence model has been used in many recent studies such as Liu et al [30], Nematollahi et al [14], Shariati et al [31], Shariati et al [17] and Sezen et al [11].…”
Section: Physics Modellingmentioning
confidence: 99%
“…A recent study has been made by Shariati et al [17]. The authors have mentioned the significance of the detection of submerged bodies moving near free surface.…”
Section: Introductionmentioning
confidence: 99%