Real-Time Progressive Hyperspectral Image Processing

Endmember Finding and Anomaly Detection

Authors: Chang, Chein-I

  • Covers new research in the field of hyperspectral imaging including FPGA design, processes for finding endmembers, and progressive band processing
  • Develops two new theories for progressive hyperspectral imaging, sample-wise progressive hyperspectral imaging, and band-wise progressive hyperspectral imaging
  • Focuses on causal and real-time hyperspectral imaging
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eBook $139.00
price for USA (gross)
  • ISBN 978-1-4419-6187-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-1-4419-6186-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors

Chein-I Chang is a Professor with the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County. His Remote Sensing Signal and Image Processing Laboratory (RSSIPL) conducts research in designing and developing signal processing algorithms for multispectral and hyperspectral imaging, medical imaging.Dr. Chang has published over 150 referred journal articles, including more than 50 papers in the IEEE Transaction on Geoscience and Remote Sensing alone and four patents with several pending on hyperspectral image processing. He authored two books, Hyperspectral Imaging: Techniques for Spectral Detection and Classification (Kluwer Academic Publishers, 2003) and Hyperspectral Data Processing: Algorithm Design and Analysis (Wiley, 2013). He also edited two books, Recent Advances in Hyperspectral Signal and Image Processing (Trasworld Research Network, India, 2006) and Hyperspectral Data Exploitation: Theory and Applications (John Wiley & Sons, 2007) and co-edited, with A. Plaza, a book on High Performance Computing in Remote Sensing (CRC Press, 2007). Dr. Chang has received his Ph.D. in Electrical Engineering from University of Maryland, College Park, Maryland. He is a Fellow of IEEE and SPIE with contributions to hyperspectral image processing.                                                                                                                                                                                                                                                                                                                                                                                                              

Table of contents (20 chapters)

  • Overview and Introduction

    Chang, Chein-I

    Pages 1-33

  • Linear Spectral Mixture Analysis

    Chang, Chein-I

    Pages 37-73

  • Finding Endmembers in Hyperspectral Imagery

    Chang, Chein-I

    Pages 75-103

  • Linear Spectral Unmixing With Three Criteria, Least Squares Error, Simplex Volume and Orthogonal Projection

    Chang, Chein-I

    Pages 105-129

  • Hyperspectral Target Detection

    Chang, Chein-I

    Pages 131-172

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-1-4419-6187-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-1-4419-6186-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Real-Time Progressive Hyperspectral Image Processing
Book Subtitle
Endmember Finding and Anomaly Detection
Authors
Copyright
2016
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-6187-7
DOI
10.1007/978-1-4419-6187-7
Hardcover ISBN
978-1-4419-6186-0
Edition Number
1
Number of Pages
XXIII, 623
Number of Illustrations and Tables
75 b/w illustrations, 256 illustrations in colour
Topics