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.
Publications
Recent publications
01/05/2020Extraction 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
Cauchy - Rayleigh CFAR for Ship Detection in Synthetic Aperture Radar
XXVIème Colloque GRETSI 2017
Superpixel-guided CFAR Detection of Ships at Sea in SAR Imagery
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017)