Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Hyperspectral Imaging
Zsidek, Adrián ; Richter, Miloslav (oponent) ; Horák, Karel (vedoucí práce)
The goal of this work is to gain basic knowledge about hyperspectral imaging. The theoretical part discusses data representation, collection, properties of the method and fields of application. It describes possibilities for hyperspectral image classification. The work deals with datasets and describes a collection of one. It shows a state-of-the-art model for hyperspectral imaging. In the practical part it describes the implementation of a classifier, which is based on spectral matching, and shows the results and potential improvements.
Hyperspectral Imaging
Zsidek, Adrián ; Richter, Miloslav (oponent) ; Horák, Karel (vedoucí práce)
The goal of this work is to gain basic knowledge about hyperspectral imaging. The theoretical part discusses data representation, collection, properties of the method and fields of application. It describes possibilities for hyperspectral image classification. The work deals with datasets and describes a collection of one. It shows a state-of-the-art model for hyperspectral imaging. In the practical part it describes the implementation of a classifier, which is based on spectral matching, and shows the results and potential improvements.

Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.