Simulation Of SAR Imaging Of Ship Wakes

Sköelv, Å.; Wahl, T.; Eriksen, S.

doi:10.1109/igarss.1988.569510

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…To demonstrate the process of SAR imaging simulation of ocean ship wakes, this section introduces the model simulation of time-varying sea surface and ship wakes, the electromagnetic scattering calculation, and the SAR image simulation. The wave elevation and velocity fields of sea surface are modeled using linear filtering method, and those of Kelvin wake are constructed using Michell's thin-ship theory, while the wave elevation of turbulent wake is modeled via attenuation function fitted from the experimental data obtained by Milgram [22] with velocity fields, followed by the Swanson model [29]. Subsequently, the geophysical model function (GMF) is used to calculate NRCS based on two-scale theory and the SAR raw data are simulated according to the use of the transmission of a linearly frequency-modulated signal.…”

Section: Methodology Of This Workmentioning

confidence: 99%

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Simulation of Synthetic Aperture Radar Images for Ocean Ship Wakes

Wu,

Wang,

et al. 2023

Remote Sensing

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To assist in the detection of ship targets in complex sea conditions, a numerical simulation method is proposed to obtain synthetic aperture radar (SAR) images of time-varying ocean ship wakes under various radar, ship, and sea surface parameters. This method addresses the limitations of recent simulations, which failed to simultaneously incorporate different types of time-varying ship wakes, simulate based on the echo data, and discuss the velocity bunching (VB) effect on the image results. To address these issues, firstly, the time-varying wave height and velocity fields of the sea surface, Kelvin wakes, and turbulence wakes are simulated using the linear filtering method, classic fluid dynamics models, and attenuation function method, respectively. Secondly, raw data of the ocean ship wakes are obtained by calculating the backscattering fields using geophysical model functions (GMFs), as well as by determining the changing slant range varying with the elevation and velocity fields. Thirdly, by applying the Range-Doppler algorithm (RDA) for pulse compression and range cell migration correction (RCMC) on the echo data, SAR images with and without the VB effect are generated. Our simulation also accounts for the influence of speckle noise. The SAR imaging results indicate that whether the VB effect is considered or not, the radar electromagnetic wavebands, polarization modes, wind speeds, and the relative wind directions have distinct impacts on the SAR image intensity, and the texture and morphology of ship wakes vary significantly with the wind speeds, ship speeds, and the relative radar looking directions. When considering the VB effect, the azimuthal offset and blur in the images caused by the more intense wave motion also increase with the wave speeds.

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Section: Methodology Of This Workmentioning

confidence: 99%

“…The value of the rearward velocity field is set to 0.01U [42]. The lateral velocity field produced by the turbulent wake can be described using the Swanson model [29] as follows:…”

Section: Modeling Of Kelvin Wakementioning

confidence: 99%