
Dr Odysseas Pappas
MEng, PhD
Current positions
Senior Research Associate
School of Computer Science
Contact
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Research interests
My main research interests are in the field of Image Processing and include image fusion, target detection, segmentation, statistical modelling and anomaly detection, multiscale analysis, and inverse problems in imaging. I am particularly interested in the applications of such techniques in remote sensing applications, working for example with Synthetic Aperture Radar data.
My current research project focuses on the detection and analysis of river networks in remote sensing imagery.
Prior research included my PhD work focusing on the creation of a superpixel based framework for the detection of small targets, with applications in UAV Sense and Avoid and ship detection in SAR imagery, as well as looking at the detection of ship wakes in SAR images as part of the AssenSAR project.
Projects and supervisions
Thesis supervisions
Publications
Recent publications
07/03/2025Deep Unfolded Approximate Message Passing for Quantitative Acoustic Microscopy Image Reconstruction
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Diffusion probabilistic models for compressive SAR imaging
Proceedings of SPIE
Measuring topographic change after volcanic eruptions using multistatic SAR satellites
Remote Sensing of Environment
R-Sparse R-CNN
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
On the Modelling of Ship Wakes in S-Band SAR Images and an Application to Ship Identification
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium