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Classification Methods for Remotely Sensed Data Kavzoglu, Taskin (Gebze Technical University, Dept. of Geomatics Engineering, Turkey) 3. izdevums
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Classification Methods for Remotely Sensed Data
Kavzoglu, Taskin (Gebze Technical University, Dept. of Geomatics Engineering, Turkey)
The new edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data, and presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2026. gada 20. jūlijs |
| ISBN13 | 9781032573953 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 422 |
| Izmēri | 179 × 252 × 24 mm · 920 g |
