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GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data
AmirAbbas Davari, Erchan Aptoula, Berrin Yanikoglu +2
The amount of training data that is required to train a classifier scales with the dimensionality of the feature data. In hyperspectral remote sensing, feature data can potentially…
Image Registration for the Alignment of Digitized Historical Documents
AmirAbbas Davari, Tobias Lindenberger, Armin Häberle +3
In this work, we conducted a survey on different registration algorithms and investigated their suitability for hyperspectral historical image registration applications. After the…
Sketch Layer Separation in Multi-Spectral Historical Document Images
AmirAbbas Davari, Armin Häberle, Vincent Christlein +2
High-resolution imaging has delivered new prospects for detecting the material composition and structure of cultural treasures. Despite the various techniques for analysis, a signi…
Benchmarking Super-Resolution Algorithms on Real Data
Thomas Köhler, Michel Bätz, Farzad Naderi +3
Over the past decades, various super-resolution (SR) techniques have been developed to enhance the spatial resolution of digital images. Despite the great number of methodical cont…