Geometrical Aspects of Correlation-Extreme Methods for Object Recognition and HSI Compression

摘要

This paper presents the results of the studies of the correlation-extreme methods for signature recognition and methods for compression of hyperspectral images (HSI) with controlled losses depending on the templates selection technique, on the threshold value, on the type of threshold used and on the selected type of invariant transformation. Recommendations are formulated for the selection of the said parameters in order to more effectively form a set of templates. Experiments have been carried out on real HSI fragments.