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language: english
Publisher: TAYLOR & FRANCIS LTD, September of 2024 ‧
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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.

Classification Methods For Remotely Sensed Data

by Brandt Tso, Taskin (Gebze Technical University, Dept. Of Geomatics Engineering, Turkey) Kavzoglu e Paul M. Mather

Property Description
ISBN: 9781032573939
Publisher: TAYLOR & FRANCIS LTD
Release Date: September of 2024
Language: English
Dimensions: 178 x 254 x 20 mm
Cover: Hardcover
Pages: 422
Format: Book
Categories: Books in English > Engineering > General Engineering
Books in English > Others
EAN: 9781032573939