Classification Methods for Remotely Sensed Data, 3rd Edition

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 asse...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Taskin Kavzoglu, Paul M. Mather, Brandt Tso
Format: Buch
Sprache:eng
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.