This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kalman filtering in algorithm design so that hyperspectral imagery can be processed not only progressively sample by sample or band by band but also recursively via recursive equations. This book can be considered a companion book of author's books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.
| ISBN: | 9783319832302 |
| Publication date: | 8th May 2018 |
| Author: | CheinI Chang |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 690 pages |
| Genres: |
Electronics engineering Pattern recognition Computer vision Digital signal processing (DSP) |
This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kalman filtering in algorithm design so that hyperspectral imagery can be processed not only progressively sample by sample or band by band but also recursively via recursive equations. This book can be considered a companion book of author's books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.
Real-Time Recursive Hyperspectral Sample and Band Processing features in the following genres: Electronics engineering, Pattern recognition, Computer vision, Digital signal processing (DSP)
Real-Time Recursive Hyperspectral Sample and Band Processing is available in Paperback, Hardback
Real-Time Recursive Hyperspectral Sample and Band Processing was written by CheinI Chang and published by Springer an imprint of Springer International Publishing
Real-Time Recursive Hyperspectral Sample and Band Processing has 690 pages
£179.99