TY - GEN
T1 - The Effect of Sea State on Ship Wake Detectability in Simulated Sar Imagery
AU - Rizaev, Igor
AU - Karakus, Oktay
AU - Hogan, S. John
AU - Achim, Alin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - Ship wake detection methods are mostly based on analyzing real SAR images of the sea surface. This is due to SAR imaging having achieved considerable maturity and becoming effective for their visualization, in particular through Bragg resonance scattering. However, in different environmental conditions, it is often difficult, sometimes impossible, to consider all possible factors that can dramatically change ship wake visualization. In this paper, an analysis of one important sea state factor, namely the fetch length, both for airborne and satellite SAR platforms is investigated and its contribution to the visualization of ship wakes in simulated SAR images is quantified. We study the effect of fetch in terms of wake detectability using a state-of the-art method. The sea surface modelling is performed using the Joint North Sea Wave Project (JONSWAP) spectrum, whilst for Kelvin wake modelling the Michell theory is employed. The simulation results performed help clarify the influence of the sea state on ship wake visualization in SAR imagery.
AB - Ship wake detection methods are mostly based on analyzing real SAR images of the sea surface. This is due to SAR imaging having achieved considerable maturity and becoming effective for their visualization, in particular through Bragg resonance scattering. However, in different environmental conditions, it is often difficult, sometimes impossible, to consider all possible factors that can dramatically change ship wake visualization. In this paper, an analysis of one important sea state factor, namely the fetch length, both for airborne and satellite SAR platforms is investigated and its contribution to the visualization of ship wakes in simulated SAR images is quantified. We study the effect of fetch in terms of wake detectability using a state-of the-art method. The sea surface modelling is performed using the Joint North Sea Wave Project (JONSWAP) spectrum, whilst for Kelvin wake modelling the Michell theory is employed. The simulation results performed help clarify the influence of the sea state on ship wake visualization in SAR imagery.
KW - SAR Imagery Simulation
KW - Sea Surface Modelling
KW - Ship Wake
KW - Velocity Bunching
KW - Wave Spectrum
UR - https://www.scopus.com/pages/publications/85098656951
U2 - 10.1109/ICIP40778.2020.9191066
DO - 10.1109/ICIP40778.2020.9191066
M3 - Conference proceedings published in a book
AN - SCOPUS:85098656951
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3478
EP - 3482
BT - 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PB - IEEE Computer Society
T2 - 2020 IEEE International Conference on Image Processing, ICIP 2020
Y2 - 25 September 2020 through 28 September 2020
ER -
