Research Topic: Analysis of hyperspectral remote sensing images for land cover classification. Feature selection/extraction techniques are exploited and developed in order to retrieve the most useful spectral-spatial information for the classification problem. My research activity includes also mathematical morphology, pattern recognition and change detection analysis in optical remote sensing data.
Parallel project: Change detection methods in optical remote sensing (funded by Rannis 2011). The aim of the project is to develop software for updating map based on change detection analysis.
Keywords: Hyperspectral/multispectral remote sensing images, land cover classification, feature selection/extraction, change detection.