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language: english
Publisher: TAYLOR & FRANCIS LTD, July of 2026 ‧
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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: 9781032573953
Publisher: TAYLOR & FRANCIS LTD
Release Date: July of 2026
Language: English
Dimensions: 178 x 254 x 20 mm
Cover: Softcover
Pages: 422
Format: Book
Categories: Books in English > Social Sciences and Humanities > Geography
EAN: 9781032573953