Classification methods for remotely sensed data /

"The third edition of the bestselling Classification Methods for Remotely Sensed Data covers recent developments in the optimization of existing and new algorithms and presents new analysis tools and metrics together with ongoing debates on accuracy assessment strategies and metrics that did no...

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Bibliographic Details
Main Authors: Kavzoglu, Taskin (Author), Tso, Brandt (Author), Mather, Paul M. (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2025.
Edition:Third edition.
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Call Number: G70.4
 
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G70.4 Available