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Artificial Intelligence Techniques for Satellite Image Analysis

  • Book
  • © 2020

Overview

Editors:
  1. D. Jude Hemanth

    1. Electronics and Communication Engineering, Karunya University, Coimbatore, India

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  • Presents step-by-step algorithms of the satellite image analysis methods allowing researchers to reproduce the work for further enhancements
  • Covers diversified image analysis methods which will be useful for beginners
  • Provides extensive experimental results that validate the methods used in the book chapters

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

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Heightening Satellite Image Display via Mobile Augmented Reality – A Cutting-Edge Planning Model

    • Sagaya Aurelia
    Pages 1-24

  3. Multithreading Approach for Clustering of Multiplane Satellite Images

    • C. Rashmi, G. Hemantha Kumar
    Pages 25-47

  4. Classification of Field-Level Crop Types with a Time Series Satellite Data Using Deep Neural Network

    • J. Jayanth, V. S. Shalini, T. Ashok Kumar, Shivaprakash Koliwad
    Pages 49-67

  5. Detection of Ship from Satellite Images Using Deep Convolutional Neural Networks with Improved Median Filter

    • S. Iwin Thanakumar Joseph, J. Sasikala, D. Sujitha Juliet
    Pages 69-82

  6. Artificial Bee Colony-Optimized Contrast Enhancement for Satellite Image Fusion

    • Anju Asokan, J. Anitha
    Pages 83-105

  7. Effective Transform Domain Denoising of Oceanographic SAR Images for Improved Target Characterization

    • S. Arivazhagan, W. Sylvia Lilly Jebarani, R. Newlin Shebiah, S. Vineth Ligi, P. V. Hareesh Kumar, K. Anilkumar
    Pages 107-136

  8. Fused Segmentation Algorithm for the Detection of Nutrient Deficiency in Crops Using SAR Images

    • V. P. Ananthi
    Pages 137-159

  9. Detection of Natural Features and Objects in Satellite Images by Semantic Segmentation Using Neural Networks

    • Vihar Kurama, Samhita Alla, Sridevi Tumula
    Pages 161-188

  10. Change Detection of Tropical Mangrove Ecosystem with Subpixel Classification of Time Series Hyperspectral Imagery

    • Dipanwita Ghosh, Somdatta Chakravortty
    Pages 189-211

  11. Crop Classification and Mapping for Agricultural Land from Satellite Images

    • A. Kalaivani, Rashmita Khilar
    Pages 213-233

  12. Next-Generation Artificial Intelligence Techniques for Satellite Data Processing

    • Neha Sisodiya, Nitant Dube, Priyank Thakkar
    Pages 235-254

  13. A Wavelet Transform Applied Spectral Index for Effective Water Body Extraction from Moderate-Resolution Satellite Images

    • R. Jenice Aroma, Kumudha Raimond
    Pages 255-274
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Keywords

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.

 

 

Editors and Affiliations

  • Electronics and Communication Engineering, Karunya University, Coimbatore, India

    D. Jude Hemanth

About the editor

Jude Hemanth received his BE degree in ECE from Bharathiar University in 2002, his ME in Communication Systems from Anna University in 2006, and his PhD from Karunya University in 2013. His main research areas include computational intelligence and image processing. He has authored more than 100 research papers in reputed International Journals.

He has authored one book and numerous book chapters with reputed publishers such as Springer and Inderscience. He has served as Associate Editor of IEEE Access Journal, and is currently a Guest Editor for many journals published by Springer, Inderscience, IOS Press, etc. A member of the IEEE Technical Committee on Neural Networks (IEEE Computational Intelligence Society) and IEEE Technical Committee on Soft Computing (IEEE Systems, Man and Cybernetics Society), Prof Hemanth has completed one funded research project for the CSIR, Government of India. He is also a Research Scientist at the Computational Intelligence and InformationSystems (CI2S) Lab, Argentina and RIADI Lab, Tunisia. Currently, he is working as an Associate Professor at the Department of ECE, Karunya University, India.

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