Real-Time Recursive Hyperspectral Sample and Band Processing - Algorithm Architecture and Implementation (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	May 2017
First published:	2017
Authors:	Chein-I Chang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	690
Edition:	1st ed. 2017
ISBN-13:	978-3-319-45170-1
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-319-45170-7
Barcode:	9783319451701

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