
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
05/09/2024On 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
High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation
2021 CIE International Conference on Radar, Radar 2021
Extraction of River Planforms from Synthetic Aperture Radar Imagery using Superpixel Classification
River Planform Extraction From High-Resolution SAR Images Via Generalised Gamma Distribution Superpixel Classification
IEEE Transactions on Geoscience and Remote Sensing
Superpixel-Level CFAR Detectors for Ship Detection in SAR Imagery
IEEE Geoscience and Remote Sensing Letters