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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.
520 pages, 13 Tables, black and white; 28 Line drawings, color; 100 Line drawings, black and white;
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | September 4, 2024 |
| ISBN13 | 9781032573939 |
| Publishers | Taylor & Francis Ltd |
| Pages | 422 |
| Dimensions | 150 × 220 × 20 mm · 1.44 kg |
| Language | English |
