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"item_title" : "Classification Methods for Remotely Sensed Data",
"item_author" : [" Taskin Kavzoglu", "Brandt Tso", "Paul M. Mather "],
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Classification Methods for Remotely Sensed Data
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
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Details
- ISBN-13: 9781032573939
- ISBN-10: 1032573937
- Publisher: CRC Press
- Publish Date: September 2024
- Dimensions: 10 x 7 x 1 inches
- Shipping Weight: 2.17 pounds
- Page Count: 422
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