Classification Methods for Remotely Sensed Data - Brandt Tso,Paul M. Mather,Taskin Kavzoglu
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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.
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Aprašymas
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.
Vairāk informācijas
| Autors | Brandt Tso, Paul M. Mather, Taskin Kavzoglu |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2024 |
| Vāka tips | Cietais vāks |
| EAN | 9781032573939 |