Using image magnification techniques to improve classification of hyperspectral data

In this work we present an image magnification technique aimed to improve the overall accuracy of hyperspectral data classification in an urban area. Furthermore, we discuss how techniques originally introduced for image enhancement in printers may be useful also for remote sensing applications. Finally, we compare different classifiers to look for the one able to exploit as much as possible the enhanced imagery. We find that fuzzy ARTMAP allows obtaining the best results.