Publication details

Využití metod strojového učení pro klasifikaci družicových snímků

Title in English Using machine learning methods for classification of satellite images
Authors

POPELÍNSKÝ Lubomír DOBROVOLNÝ Petr KUBA Petr

Year of publication 2001
Type Article in Proceedings
Conference Sborník konference Znalosti 2001
MU Faculty or unit

Faculty of Informatics

Citation
Field Information theory
Keywords classification; geomining; spatial data; satellite images; machine learning
Description This paper deals with use of machine learning methods for data mining in geographical data, especially in raster images from remote sensing. Satellite images with size of pixel 30 x 30 m were used. These images contain values in 6 bands of spectrum. Different machine lerning methods were used to determine target class (e.g. forest, water) for each pixel. The results were compared to the results achieved by standard methods used in remote sensing.
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