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Classification Methods for Remotely Sensed Data

Language EnglishEnglish
Book Paperback
Book Classification Methods for Remotely Sensed Data Paul M. Mather
Libristo code: 52780217
Publishers Taylor & Francis Ltd, July 2026
The new edition of the bestselling Classification Methods for Remotely Sensed Data covers current st... Full description
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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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About the book

Full name Classification Methods for Remotely Sensed Data
Author Paul M. Mather, Taskin Kavzoglu
Language English
Binding Book - Paperback
Date of issue 2026
Number of pages 422
EAN 9781032573953
ISBN 1032573953
Libristo code 52780217
Publishers Taylor & Francis Ltd
Weight 766
Dimensions 178 x 254

Categories

Earth Sciences, Geography, Environment, Planning > Geography > Human geography
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