Classification methods for remotely sensed data
Auteur :
Kavzoglu, Taskin / Tso, Brandt / Mather, Paul M.
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032573939
Date de publication :
4 sept. 2024
Dimensions :
25,4 x 17,8 cm
Poids :
453 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.