National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Hyperspectral Imaging
Zsidek, Adrián ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
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 (referee) ; Horák, Karel (advisor)
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.

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