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Hyperspectral Data Compression

  • Giovanni Motta
  • Francesco Rizzo
  • James A. Storer

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

Introduction

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. 

Keywords

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

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-28600-4
  • Copyright Information Springer Science+Business Media, Inc. 2006
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-28579-5
  • Online ISBN 978-0-387-28600-6
  • Buy this book on publisher's site