no code implementations • 6 Feb 2024 • Kamirul Kamirul, Odysseas Pappas, Igor G. Rizaev, Alin Achim
We present a novel ship wake simulation system for generating S-band Synthetic Aperture Radar (SAR) images, and demonstrate the use of such imagery for the classification of ships based on their wake signatures via a deep learning approach.
no code implementations • 5 Mar 2022 • Odysseas Pappas, Nantheera Anantrasirichai, Byron Adams, Alin Achim
High accuracy coastline/shoreline extraction from SAR imagery is a crucial step in a number of maritime and coastal monitoring applications.
no code implementations • 4 Mar 2022 • Odysseas Pappas, Juliet Biggs, David Bull, Alin Achim, Nantheera Anantrasirichai
Monitoring of ground movement close to the rail corridor, such as that associated with landslips caused by ground subsidence and/or uplift, is of great interest for the detection and prevention of possible railway faults.
no code implementations • 22 Aug 2021 • Zi-Yao Zhang, Odysseas Pappas, Igor G. Rizaev, Alin Achim
In this paper, SAR image reconstruction with joint phase error estimation (autofocusing) is formulated as an inverse problem.
no code implementations • 17 Dec 2020 • Zi-Yao Zhang, Odysseas Pappas, Alin Achim
In this paper, an optimization model using Cauchy regularization is proposed for simultaneous SAR image reconstruction and autofocusing.