Artificial Intelligence Techniques for Satellite Image Analysis

  • D. Jude Hemanth

Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 24)

Table of contents

  1. Front Matter
    Pages i-viii
  2. J. Jayanth, V. S. Shalini, T. Ashok Kumar, Shivaprakash Koliwad
    Pages 49-67
  3. S. Iwin Thanakumar Joseph, J. Sasikala, D. Sujitha Juliet
    Pages 69-82
  4. S. Arivazhagan, W. Sylvia Lilly Jebarani, R. Newlin Shebiah, S. Vineth Ligi, P. V. Hareesh Kumar, K. Anilkumar
    Pages 107-136
  5. Neha Sisodiya, Nitant Dube, Priyank Thakkar
    Pages 235-254

About this book


The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.  


Satellite image processing Artificial Intelligence for SAR images Remote sensing Hyperspectral digital imaging Pattern recognition identification in SAR images Detection in satellite imagies soft computing techiques for image analysis deep learning for satellite imagery

Editors and affiliations

  • D. Jude Hemanth
    • 1
  1. 1.Electronics and Communication EngineeringKarunya UniversityCoimbatoreIndia

Bibliographic information