ENGLISH

Real-Time Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-45170-1, 978-3-319-45171-8
DOI
10.1007/978-3-319-45171-8
Language
english
Format
PDF
Filesize
36 MB (37400245 bytes)
Edition
1
Pages
XXIII, 690\694
Time added
2017-06-25 01:07:36

Description

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.

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