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Real-Time Progressive Hyperspectral Image Processing

Endmember Finding and Anomaly Detection

  • Chein-I Chang

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Chein-I Chang
    Pages 1-33
  3. Preliminaries

  4. Sample-Wise Sequential Processes for Finding Endmembers

  5. Sample-Wise Progressive Processes for Finding Endmembers

  6. Hyperspectral Anomaly Detection

    1. Front Matter
      Pages 469-470
    2. Chein-I Chang
      Pages 471-493
    3. Chein-I Chang
      Pages 495-519
    4. Chein-I Chang
      Pages 521-545
    5. Chein-I Chang
      Pages 547-576
    6. Chein-I Chang
      Pages 597-605
  7. Back Matter
    Pages 607-623

About this book

Introduction

The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability. Recently, two new concepts of real time hyperspectral image processing, Progressive Hyperspectral Imaging (PHSI) and Recursive Hyperspectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses on progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly detection, both of which are fundamental tasks in hyperspectral imaging but generally not encountered in multispectral imaging. This book is written to particularly address PHSI in real time processing, while a book, Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation (Springer 2016) can be considered as its companion book.  
  • Includes preliminary background which is essential to those who work in hyperspectral imaging area
  • Develops sequential and progressive algorithms for finding endmembers as they relate to real time hyperspectral image processing
  • Designs algorithms for anomaly detection from causality and real time perspectives and investigates the effects of causality and real-time processing in anomaly detection

Keywords

Causal hyperspectral image processing Hyperspectral data analysis Hyperspectral imaging Progressive hyperspectral image processing Real-time hyperspectral image processing

Authors and affiliations

  • Chein-I Chang
    • 1
  1. 1.Remote Sensing Signal & Image Proc. Lab.University of MarylandBaltimoreUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-6187-7
  • Copyright Information Springer Science+Business Media, LLC 2016
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4419-6186-0
  • Online ISBN 978-1-4419-6187-7
  • Buy this book on publisher's site