Hyperspectral Image Fusion

• Main Authors: Chaudhuri, Subhasis. (Author), Kotwal, Ketan. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Subjects: Computer science.; Data mining.; Computer vision.; Computer Science.; Image Processing and Computer Vision.; Data Mining and Knowledge Discovery.; Signal, Image and Speech Processing.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-7470-8

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.