Table of contents

  1. Front Matter
    Pages i-ix
  2. Andrea Abrardo, Mauro Barni, Andrea Bertoli, Raoul Grimoldi, Enrico Magli, Raffaele Vitulli
    Pages 47-65
  3. Yunsong Li, Juan Song, Chengke Wu, Kai Liu, Jie Lei, Keyan Wang
    Pages 67-85
  4. Jordi Portell, Alberto G. Villafranca, Enrique García-Berro
    Pages 87-113
  5. Bruno Aiazzi, Luciano Alparone, Stefano Baronti
    Pages 115-147
  6. Jarno Mielikainen
    Pages 169-184
  7. Ian Blanes, Joan Serra-Sagristà, Peter Schelkens
    Pages 215-232
  8. Chulhee Lee, Sangwook Lee, Jonghwa Lee
    Pages 269-285
  9. Haleh Safavi, Chein-I Chang, Antonio J. Plaza
    Pages 287-309

About this book


Satellite Data Compression covers recent progress in compression techniques for multispectral, hyperspectral and ultra spectral data. A survey of recent advances in the fields of satellite communications, remote sensing and geographical information systems is included. Satellite Data Compression, contributed by leaders in this field, is the first book available on satellite data compression. It covers onboard compression methodology and hardware developments in several space agencies. Case studies are presented on recent advances in satellite data compression techniques via various prediction-based, lookup-table-based, transform-based, clustering-based, and projection-based approaches. This book provides valuable information on state-of-the-art satellite data compression technologies for professionals and students who are interested in this topic. Satellite Data Compression is designed for a professional audience comprised of computer scientists working in satellite communications, sensor system design, remote sensing, data receiving, airborne imaging and geographical information systems (GIS). Advanced-level students and academic researchers will also benefit from this book.


GIS data compression geographic information systems satellite communications satellite data compression sensing

Editors and affiliations

  • Bormin Huang
    • 1
  1. 1., Space Science and Engineering CenterUniversity of Wisconsin - MadisonMadisonUSA

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