{
"item_title" : "Classification Methods for Remotely Sensed Data",
"item_author" : [" Taskin Kavzoglu", "Brandt Tso", "Paul M. Mather "],
"item_description" : "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.",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/03/257/395/1032573953_b.jpg",
"price_data" : {
"retail_price" : "84.99", "online_price" : "84.99", "our_price" : "84.99", "club_price" : "84.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
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
Customers Also Bought
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
Related Categories
