Hyperspectral Image Fusion

  • Subhasis Chaudhuri
  • Ketan Kotwal

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Subhasis Chaudhuri, Ketan Kotwal
    Pages 1-18
  3. Subhasis Chaudhuri, Ketan Kotwal
    Pages 19-40
  4. Subhasis Chaudhuri, Ketan Kotwal
    Pages 41-55
  5. Subhasis Chaudhuri, Ketan Kotwal
    Pages 57-71
  6. Subhasis Chaudhuri, Ketan Kotwal
    Pages 73-90
  7. Subhasis Chaudhuri, Ketan Kotwal
    Pages 91-100
  8. Subhasis Chaudhuri, Ketan Kotwal
    Pages 101-115
  9. Subhasis Chaudhuri, Ketan Kotwal
    Pages 117-126
  10. Subhasis Chaudhuri, Ketan Kotwal
    Pages 127-149
  11. Subhasis Chaudhuri, Ketan Kotwal
    Pages 151-172
  12. Subhasis Chaudhuri, Ketan Kotwal
    Pages 173-178
  13. Back Matter
    Pages 179-191

About this book

Introduction

Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. While the techniques for fusion of hyperspectral images are being developed, it is also important to establish a framework for objective assessment of such techniques. This monograph has a dedicated chapter describing various fusion performance measures that are applicable to hyperspectral image fusion. This monograph also presents a notion of consistency of a fusion technique which can be used to verify the suitability and applicability of a technique for fusion of a very large number of images. This book will be a highly useful resource to the students, researchers, academicians and practitioners in the specific area of hyperspectral image fusion, as well as generic image fusion.

Keywords

Band Selection Calculus of Variation Edge-preserving Filter Fusion Consistency Fusion Quality Assessment Hyperspectral Image Visualization Image Fusion MAP Fusion Multi-objective Optimization Output-driven Fusion

Authors and affiliations

  • Subhasis Chaudhuri
    • 1
  • Ketan Kotwal
    • 2
  1. 1., Department of Electrical EngineeringIndian Institute of Technology BombayPowai, MumbaiIndia
  2. 2., Department of Electrical EngineeringIndian Institute of Technology BombayPowei, MumbaiIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-7470-8
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-7469-2
  • Online ISBN 978-1-4614-7470-8
  • About this book
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