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Classification Methods for Remotely Sensed Data|Taskin Kavzoglu

Classification Methods for Remotely Sensed Data

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781032573953
  • ISBN-10: 1032573953
  • Publisher: CRC Press
  • Publish Date: July 2026
  • Dimensions: 10 x 7 x 0.9 inches
  • Shipping Weight: 1.69 pounds
  • Page Count: 422

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