Využití metod strojového učení pro klasifikaci družicových snímků
| Title in English | Using machine learning methods for classification of satellite images |
|---|---|
| Authors | |
| Year of publication | 2001 |
| Type | Article in Proceedings |
| Conference | Sborník konference Znalosti 2001 |
| MU Faculty or unit | |
| 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. |
| Related projects: |