© 2006

Hyperspectral Data Compression

  • Giovanni Motta
  • Francesco Rizzo
  • James A. Storer
  • An excellent technical reference for both academic and industrial researchers in the fields of computer science and engineering

  • A compilation of the most current results in the field of compression of remote sensing 3D data with chapters contributed by leading researchers in the area

  • The only book currently on the market which focuses on the newest areas of research: multispectral and hyperspectral imagery


Table of contents

  1. Front Matter
    Pages i-xi
  2. Mark R. Pickering, Michael J. Ryan
    Pages 1-34
  3. Hongqiang Wang, Khalid Sayood
    Pages 35-55
  4. Jarno Mielikainen, Pekka Toivanen
    Pages 57-74
  5. Bormin Huang, Alok Ahuja, Hung-Lung Huang
    Pages 75-105
  6. G. Motta, F. Rizzo, J. A. Storer
    Pages 107-146
  7. Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri, Leonardo Santurri
    Pages 147-177
  8. Grégoire Mercier, Marc Lennon
    Pages 178-196
  9. Agnieszka C. Miguel, Richard E. Ladner, Eve A. Riskin, Scott Hauck, Dane K. Barney, ‡Amanda R. Askew et al.
    Pages 197-231
  10. Xiaoli Tang, William A. Pearlman
    Pages 273-308
  11. Bharath Ramakrishna, Antonio J. Plaza, Chein-I Chang, Hsuan Ren, Qian Du, Chein-Chi Chang
    Pages 309-346
  12. Prajit Kulkarni, Ali Bilgin, Michael W. Marcellin, Joseph C. Dagher, James H. Kasner, Thomas J. Flohr et al.
    Pages 347-378
  13. Matthew Klimesh, Aaron Kiely, Hua Xie, Nazeeh Aranki
    Pages 379-405
  14. Back Matter
    Pages 407-417

About this book


HYPERSPECTRAL DATA COMPRESSION presents the most recent results in the field of compression of remote sensing 3D data, with a focus on multispectral and hyperspectral imagery.  This book is essential for researchers working across related fields including: multi-dimensional data compression, multispectral and hyperspectral data archives,  remote sensing, scientific image processing, military and aerospace image processing, image segmentation, image classification, and target detection. 


3D 3D wavelet-based image compression Hyperspectral Image Data Compression Hyperspectral Imagery JPEG Lossless Compression Near-Lossless Compression data compression

Editors and affiliations

  • Giovanni Motta
    • 1
    • 2
  • Francesco Rizzo
    • 1
    • 3
  • James A. Storer
    • 1
  1. 1.Brandeis UniversityUSA
  2. 2.Bitfone CorporationUSA
  3. 3.University of SalernoItaly

About the editors

James A. Storer is Chair of the IEEE Data Compression Conference.

Bibliographic information

Industry Sectors
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From the reviews:

"Motta, Rizzo, and Storer … are veterans in the field of data compression, both individually and collaboratively. They bring together a concentrated set of contributed papers, focusing on compressing hyperspectral (multidimensional) data. … This compendium describes cutting-edge compression technology, and is sure to occupy an important position in the current literature of the field. The editors have accomplished their goal of making this technology available to the educational and industrial communities." (R. Goldberg, Computing Reviews, Vol. 50 (1), January, 2009)