The airborne hyperspectral remote sensing is used as an approach to monitor and analyse actual state of environmental components. This thesis deals with hyperspectral image data, especially it is focused on normalization with respect to scanning angle. The thesis proposes specific algorithm, which is based on the statistical analysis of spectral lines across the scan line and on a physical models describing the process of spectral reflectance. An important part of this thesis is software implementation of proposed algorithm, that allows to calculate required normalization for real datasets.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:230517 |
Date | January 2013 |
Creators | Grísa, Tomáš |
Contributors | Druckmüller, Miloslav, Martišek, Dalibor |
Publisher | Vysoké učení technické v Brně. Fakulta strojního inženýrství |
Source Sets | Czech ETDs |
Language | Czech |
Detected Language | English |
Type | info:eu-repo/semantics/masterThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0017 seconds