Satellite Data Compression

By Bormin Huang

Satellite Data Compression Cover Image

Satellite Data Compression covers recent progress in compression techniques for multispectral, hyperspectral and ultra spectral data.  Readers will find a survey of recent advances in the fields of satellite communications, remote sensing and geographical information systems.

Full Description

  • ISBN13: 978-1-4614-1182-6
  • 318 Pages
  • User Level: Professionals
  • Publication Date: November 25, 2011
  • Available eBook Formats: PDF
  • eBook Price: $129.00
Buy eBook Buy Print Book Add to Wishlist
Full Description
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.
Table of Contents

Table of Contents

  1. Development of on
  2. board data compression technology at Canadian Space Agency.
  3. CNES Studies for On
  4. Board Compression of High
  5. Resolution Satellite Images.
  6. Low
  7. Complexity Approaches for Lossless and Near
  8. Lossless Hyperspectral Image Compression.
  9. FPGA Design of Listless SPIHT for Onboard Image Compression.
  10. Outlier
  11. Resilient Entropy Coding.
  12. Quality Issues for Compression of Hyperspectral Imagery Through Spectrally Adaptive DPCM.
  13. Ultraspectral Sounder Data Compression by the Prediction
  14. Based Lower Triangular Transform.
  15. Lookup
  16. Table Based Hyperspectral Data Compression.
  17. Multiplierless Reversible Integer TDLT/KLT for Lossy
  18. to
  19. lossless Hyperspectral Image Compression.
  20. Divide
  21. and
  22. conquer decorrelation for hyperspectral data compression.
  23. Hyperspectral Image Compression Using Segmented Principal Component Analysis.
  24. Fast Precomputed Vector Quantization with Optimal Bit Allocation for Lossless Compression of Ultraspectral Sounder Data.
  25. Effects of Lossy Compression on Hyperspectral Classification.
Errata

Please Login to submit errata.

No errata are currently published