Real-Time Recursive Hyperspectral Sample and Band Processing e-bog
2190,77 DKK
(inkl. moms 2738,46 DKK)
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...
E-bog
2190,77 DKK
Forlag
Springer
Udgivet
23 april 2017
Genrer
Electronics engineering
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783319451718
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.