Explainable AI for Earth Observation Data Analysis
eBook - ePub

Explainable AI for Earth Observation Data Analysis

Applications, Opportunities, and Challenges

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Explainable AI for Earth Observation Data Analysis

Applications, Opportunities, and Challenges

About this book

The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis algorithms and complex deep learning models to ensure the quality of spatial decisions. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems.

Features:

  • Examines explainability of algorithms from the aspect of generalizability and reliability
  • Reviews state-of-the-art explainability strategies related to the preprocessing algorithms
  • Provides explanations for specific evaluation metrics of various EO data processing and preprocessing algorithms
  • Discusses explainable ante-hoc and post-hoc approaches for EO data analysis
  • Serves as a foundational reference for developing future EO data processing strategies
  • Addresses the key challenges in making EO data processing algorithms interpretable and offers insights for the future of explainable EO data processing

This book is intended for graduate students, researchers and academics in computer and data science, machine learning, and image processing, as well as professionals in geospatial data science using GIS and remote sensing in Earth and environmental sciences.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Explainable AI for Earth Observation Data Analysis by Arun PV,Jocelyn Chanussot,B Krishna Mohan,D. Nagesh Kumar,Alok Porwal,D Nagesh Kumar in PDF and/or ePUB format, as well as other popular books in Informatique & Vision par ordinateur et reconnaissance de formes. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Foreword
  8. Preface
  9. About the Editors
  10. List of Contributors
  11. Acknowledgements
  12. Chapter 1 Towards Explainable Geospatial AI
  13. Chapter 2 Explainable AI Methods: Challenges and Opportunities for EO Data Analysis
  14. Chapter 3 Explainable EO Data Preprocessing: Challenges and the Way Forward
  15. Chapter 4 Explainable Feature Engineering for EO Data Analysis
  16. Chapter 5 Towards Explainable Discriminative Models for EO Data Analysis
  17. Chapter 6 Towards Explainable Generative Models for EO Data Analysis
  18. Chapter 7 Earth Observation Data Analytics: Explainable AI (XAI) Strategies
  19. Chapter 8 Towards Correlating Deep Learning Models with Physics-Based Models
  20. Chapter 9 Explainable Ante-Hoc Approaches for EO Data Analysis: Opportunities and Challenges
  21. Chapter 10 Explainable Post-Hoc Approaches for EO Data Analysis: Opportunities and Challenges
  22. Chapter 11 Bridging Online Learning and Explainability in Image Classification
  23. Chapter 12 A Novel Metric for Evaluating Interpretable Machine Learning Algorithms for Hyperspectral Image Classification
  24. Chapter 13 Benchmark Datasets for EO Data Explainability
  25. Chapter 14 Soil Organic Carbon Prediction Using Explainable AI and VNIR Lab Spectroscopy
  26. Chapter 15 Future Trends in Explainable AI for Geospatial Applications
  27. Index