Hyperspectral Image Fusion

• Main Authors: Chaudhuri, Subhasis (Author), Kotwal, Ketan (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Subjects: Computer science.; Data mining.; Image processing.; Computer Science.; Image Processing and Computer Vision.; Data Mining and Knowledge Discovery.; Signal, Image and Speech Processing.

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 f...

Table of Contents:

• Introduction
• Current State of the Art
• Edge-preserving Solution
• Band Selection through Redundancy Elimination
• Bayesian Estimation
• Variational Solution
• Optimization-based Fusion
• Band Selection: Revisited
• Performance Assessment of Fusion Techniques
• Results and Discussions
• Conclusions and Directions for Future Research.