Trending Bestseller

Classification Methods for Remotely Sensed Data

No reviews yet Write a Review
Paperback / softback
422 Pages
19 July 2026
RRP: $132.99
$131.00
Ships in 2-5 business days

Delivery estimate

Hurry up! Current stock:

The third 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. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and selection, multisource image fusion, hyperparameter optimization, accuracy assessment with model explainability, and object-based image analysis, which is relatively a new paradigm in image processing and classification. It presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods.

New in this edition:

  • Provides comprehensive background on the theory of deep learning and its application to remote sensing data.
  • Includes a chapter on hyperparameter optimization techniques to guarantee the highest performance in classification applications.
  • Outlines the latest strategies and accuracy measures in accuracy assessment and summarizes accuracy metrics and assessment strategies.
  • Discusses the methods used for explaining inherent structures and weighing the features of ML and AI algorithms that are critical for explaining the robustness of the models.

This book is intended for industry professionals, researchers, academics, and graduate students who want a thorough and up-to-date guide to the many and varied techniques of image classification applied in the fields of geography, geospatial and earth sciences, electronic and computer science, environmental engineering, etc.

You Can Find This Title In

    Product Details
    ISBN-13
    9781032573953
    Author
    Taskin Kavzoglu
    Publisher
    CRC Press
    Published
    19 July 2026
    Format
    Paperback / softback
    Pages
    422

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $132.99
    $131.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Classification Methods for Remotely Sensed Data

    RRP: $132.99
    $131.00

    Description

    The third 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. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and selection, multisource image fusion, hyperparameter optimization, accuracy assessment with model explainability, and object-based image analysis, which is relatively a new paradigm in image processing and classification. It presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods.

    New in this edition:

    • Provides comprehensive background on the theory of deep learning and its application to remote sensing data.
    • Includes a chapter on hyperparameter optimization techniques to guarantee the highest performance in classification applications.
    • Outlines the latest strategies and accuracy measures in accuracy assessment and summarizes accuracy metrics and assessment strategies.
    • Discusses the methods used for explaining inherent structures and weighing the features of ML and AI algorithms that are critical for explaining the robustness of the models.

    This book is intended for industry professionals, researchers, academics, and graduate students who want a thorough and up-to-date guide to the many and varied techniques of image classification applied in the fields of geography, geospatial and earth sciences, electronic and computer science, environmental engineering, etc.

    You Can Find This Title In

      This Title Is Categorised As