Classification Methods for Remotely Sensed Data

by Paul M. Mather, Brandt Tso, Taskin Kavzoglu

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.

• Format: Hardcover
• Language: English
• ISBN: 1032573937
• ISBN13: 9781032573939
• Release Date: September 2024
• Publisher: CRC Press
• Length: 422 Pages
• Weight: 2.17 lbs.
• Dimensions: 1.0" x 7.0" x 10.0"