most citedNASTaR: NovaSAR Automated Ship Target Recognition Dataset

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 1 cited

NASTaR: NovaSAR Automated Ship Target Recognition Dataset

Benyamin Hosseiny, Kamirul Kamirul, Odysseas Pappas +1

Synthetic Aperture Radar (SAR) offers a unique capability for all-weather, space-based maritime activity monitoring by capturing and imaging strong reflections from ships at sea. A…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

Sparse R-CNN OBB: Ship Target Detection in SAR Images Based on Oriented Sparse Proposals

Kamirul Kamirul, Odysseas Pappas, Alin Achim

We present Sparse R-CNN OBB, a novel framework for the detection of oriented objects in SAR images leveraging sparse learnable proposals. The Sparse R-CNN OBB has streamlined archi…

eess.IV2024

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…