Classification Methods for Remotely Sensed Data - Kavzoglu, Taskin (Gebze Technical University, Dept. of Geomatics Engineering, Turkey) - Books - Taylor & Francis Ltd - 9781032573939 - September 4, 2024
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Kavzoglu, Taskin (Gebze Technical University, Dept. of Geomatics Engineering, Turkey)
Classification Methods for Remotely Sensed Data 3rd edition

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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.

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  

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