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

✍ Scribed by Chein-I Chang (auth.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 694
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xxiii
Introduction....Pages 1-28
Front Matter....Pages 29-29
Simplex Volume Calculation....Pages 31-47
Discrete-Time Kalman Filtering for Hyperspectral Processing....Pages 49-71
Target-Specified Virtual Dimensionality for Hyperspectral Imagery....Pages 73-119
Front Matter....Pages 121-121
Real-Time Recursive Hyperspectral Sample Processing for Active Target Detection: Constrained Energy Minimization....Pages 123-156
Real-Time Recursive Hyperspectral Sample Processing for Passive Target Detection: Anomaly Detection....Pages 157-205
Front Matter....Pages 207-208
Recursive Hyperspectral Sample Processing of Automatic Target Generation Process....Pages 209-226
Recursive Hyperspectral Sample Processing of Orthogonal Subspace Projection....Pages 227-259
Recursive Hyperspectral Sample Processing of Linear Spectral Mixture Analysis....Pages 261-287
Recursive Hyperspectral Sample Processing of Maximum Likelihood Estimation....Pages 289-317
Recursive Hyperspectral Sample Processing of Orthogonal Projection-Based Simplex Growing Algorithm....Pages 319-356
Recursive Hyperspectral Sample Processing of Geometric Simplex Growing Algorithm....Pages 357-396
Front Matter....Pages 397-398
Recursive Hyperspectral Band Processing for Active Target Detection: Constrained Energy Minimization....Pages 399-420
Recursive Hyperspectral Band Processing for Passive Target Detection: Anomaly Detection....Pages 421-447
Front Matter....Pages 449-450
Recursive Hyperspectral Band Processing of Automatic Target Generation Process....Pages 451-481
Recursive Hyperspectral Band Processing of Orthogonal Subspace Projection....Pages 483-503
Recursive Hyperspectral Band Processing of Linear Spectral Mixture Analysis....Pages 505-527
Recursive Hyperspectral Band Processing of Growing Simplex Volume Analysis....Pages 529-542
Recursive Hyperspectral Band Processing of Iterative Pixel Purity Index....Pages 543-594
Recursive Band Processing of Fast Iterative Pixel Purity Index....Pages 595-625
Front Matter....Pages 449-450
Conclusions....Pages 627-651
Back Matter....Pages 653-690

✦ Subjects

Signal, Image and Speech Processing;Image Processing and Computer Vision;Pattern Recognition;Biometrics