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This thesis is focused on the determination of conversion factors of stacked timber which originates from Norway spruce. Different assortments were produced and processed by the "Petra s.r.o." joint-stock company. Determined factors are compared to the one which are used in contracts of "LČR s.p." ("The forests of the Czech Republic, JSC"). The determination of the coefficients was done using digital photographs of individual timber stocks with the help of the "picture analysis method" in the Adobe Photoshop CS5 Extended computer program. The results of this thesis are as follows: determination of the reason for various conversion factors used with various selections, the influence of the edge of timber stock and proposal for changes in storing and measuring of stacked timber.

Coherent analysis and data presentation is the most important function in geographic information systems, especially in environmental protection, territorial planning, logistics, etc. One of the discipline recently enhanced thanks to GIS is archaeology. The main goal of the thesis is to apply advanced methods of image analysis in aerial photography using GIS. Specifically it stands for automatic vectorisation and georeferencing of crop marks (buried human-built structures).

Development of the technologies enables improving identification of surface objects by remote sensing methods. This thesis deal with classification of tree species and their spectral signatures. As an input data are used airborne laser scanned data, hyperspectral images with 72 bands and manually collected data about tree species. For classification there is used maximum likelihood method. Main results of this work are graphs representing spectral characteristics of tree species and raster classified by tree species.

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This master thesis is focused on the optimization of low voltage electron microscope LVTEM, the description of construction and the comparison of LVTEM and conventional electron microscope, with concentration on the image acquiring and adjusting.

This thesis deals with a design and an implementation of object recognition method. The recognition method focuses on an object from a preview of mobile device's camera. The method modifies this object in real time and it is used in an augmented reality application.