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Multi-resolution Image Fusion in Remote Sensing

$89.99

  • Authors:
  • Manjunath V. Joshi, Dhirubhai Ambani Institute of Information and Communication Technology, Gujarat
  • Kishor P. Upla, Sardar Vallabhbhai National Institute of Technology, Surat
  • Date Published: March 2019
  • availability: In stock
  • format: Hardback
  • isbn: 9781108475129

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About the Authors
  • Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use of regularization are explained in detail. It also includes different quality assessment measures used in testing the quality of fusion. Real-life applications and plenty of multi-resolution images are provided in the text for enhanced learning.

    • Highlights use of edge-preserving filters in multi-resolution fusion
    • Provides detailed discussion on image fusion techniques for better assessment of images
    • Presents real-life applications and multi-resolution images for enhanced learning
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    Product details

    • Date Published: March 2019
    • format: Hardback
    • isbn: 9781108475129
    • length: 252 pages
    • dimensions: 237 x 158 x 15 mm
    • weight: 0.44kg
    • availability: In stock
  • Table of Contents

    Preface
    Acknowledgement
    Dedication
    List of figures
    List of tables
    1. Introduction
    2. Literature review
    3. Image fusion using different edge preserving filters
    4. Image fusion: model based approach with degradation estimation
    5. Use of self-similarity and Gabor Prior
    6. Image fusion: application to super-resolution of natural images
    7. Conclusions and directions for future research
    Bibliography
    Index.

  • Authors

    Manjunath V. Joshi, Dhirubhai Ambani Institute of Information and Communication Technology, Gujarat
    Manjunath V. Joshi has received his M.Tech. and Ph.D. degrees from the Indian Institute of Technology (IIT) Bombay. Currently, he is serving as a Professor with the Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. He has been involved in active research in the areas of computer vision, machine learning and cognitive radio and has several publications in quality journals and conferences. He has co-authored two books entitled Motion-Free Super Resolution (2005) and Digital Heritage Reconstruction using Super-resolution and Inpainting (2016). Dr Joshi has received Outstanding Researcher Award in Engineering by the Research Scholars Forum of IIT Bombay and Dr Vikram Sarabhai Award for 2006–2007.

    Kishor P. Upla, Sardar Vallabhbhai National Institute of Technology, Surat
    Kishor P. Upla is Assistant Professor in Sardar Vallabhbhai National Institute of Technology, Surat (SVNIT). He received his Ph.D. degree from Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. He has fourteen years of teaching experience. His areas of interest include signal and image processing, multi-spectral and hyperspectral image analysis.

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