Hyperspectral Image Fusion

1. Front Matter

   Pages i-xvi

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2. Introduction

   • Subhasis Chaudhuri, Ketan Kotwal

   Pages 1-18

3. Current State of the Art

   • Subhasis Chaudhuri, Ketan Kotwal

   Pages 19-40

4. Edge-Preserving Solution

   • Subhasis Chaudhuri, Ketan Kotwal

   Pages 41-55

5. Band Selection Through Redundancy Elimination

   • Subhasis Chaudhuri, Ketan Kotwal

   Pages 57-71

6. Bayesian Estimation

   • Subhasis Chaudhuri, Ketan Kotwal

   Pages 73-90

7. Variational Solution

   • Subhasis Chaudhuri, Ketan Kotwal

   Pages 91-100

8. Optimization-Based Fusion

   • Subhasis Chaudhuri, Ketan Kotwal

   Pages 101-115

9. Band Selection: Revisited

   • Subhasis Chaudhuri, Ketan Kotwal

   Pages 117-126

10. Performance Assessment of Fusion Techniques

    • Subhasis Chaudhuri, Ketan Kotwal

    Pages 127-149

11. Results and Discussions

    • Subhasis Chaudhuri, Ketan Kotwal

    Pages 151-172

12. Conclusions and Directions for Future Research

    • Subhasis Chaudhuri, Ketan Kotwal

    Pages 173-178

13. Back Matter

    Pages 179-191

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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.

• 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

• , Department of Electrical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India

  Subhasis Chaudhuri

• , Department of Electrical Engineering, Indian Institute of Technology Bombay, Powei, Mumbai, India

  Ketan Kotwal

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