4 papers
Physics-Informed Diffusion Models for SAR Ship Wake Generation from Text Prompts
Kamirul Kamirul, Odysseas Pappas, Alin Achim
Detecting ship presence via wake signatures in SAR imagery is attracting considerable research interest, but limited annotated data availability poses significant challenges for su…
R-Sparse R-CNN: SAR Ship Detection Based on Background-Aware Sparse Learnable Proposals
Kamirul Kamirul, Odysseas Pappas, Alin Achim
We introduce R-Sparse R-CNN, a novel pipeline for oriented ship detection in Synthetic Aperture Radar (SAR) images that leverages sparse learnable proposals enriched with backgroun…
Diffusion Probabilistic Models for Compressive SAR Imaging
Odysseas Pappas, Perla Mayo, Andrew Austin +1
Compressed sensing Synthetic Aperture Radar (SAR) image formation, formulated as an inverse problem and solved with traditional iterative optimization methods can be very computati…
On the Modelling of Ship Wakes in S-Band SAR Images and an Application to Ship Identification
Kamirul Kamirul, Odysseas Pappas, Igor G. Rizaev +1
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…