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Classification Methods for Remotely Sensed Data Kavzoglu, Taskin (Gebze Technical University, Dept. of Geomatics Engineering, Turkey) 3rd edition
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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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | July 19, 2026 |
| ISBN13 | 9781032573953 |
| Publishers | Taylor & Francis Ltd |
| Pages | 422 |
| Dimensions | 179 × 252 × 24 mm · 920 g |