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.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:362112 |
Date | January 2016 |
Creators | Kosar, Ján |
Source Sets | Czech ETDs |
Language | Czech |
Detected Language | English |
Type | info:eu-repo/semantics/masterThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
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