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Hyperspectral Data Compression

By Giovanni Motta , Francesco Rizzo , James A. Storer

Hyperspectral Data Compression Cover Image

  • ISBN13: 978-0-3872-8579-5
  • 432 Pages
  • User Level: Science
  • Publication Date: June 3, 2006
  • Available eBook Formats: PDF
  • eBook Price: $169.00
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Full Description
Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original). Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification. Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image. Chapter 13 examines artifacts that can arise from lossy compression.
Table of Contents

Table of Contents

  1. Compression of Earth Science Data with JPEG2000.
  2. Near
  3. Lossless Compression of Hyperspectral Imagery Through Crisp/Fuzzy Adaptive DPCM.
  4. Lossless Hyperspectral Image Compression via Linear Prediction.
  5. Coding of Hyperspectral Imagery with Trellis
  6. Coded Quantization.
  7. Predictive Coding of Hyperspectral Images.
  8. An Architecture for the Compression of Hyperspectral Imagery.
  9. Lossless Compression of Hyperspectral Sounder Data.
  10. Three
  11. Dimensional Wavelet
  12. Based Image Compression.
  13. Lossless Predictive Compression of Hyperspectral Images.
  14. Locally Optimal Partitioned Vector Quantization of Hyperspectral Data.
  15. Joint Classification and Compression of Hyperspectral Images.
  16. Predictive Coding of Hyperspectral Images.
  17. Spectral/Spatial Hyperspectral Image Compression.
  18. Spectral Ringing Artifacts in Hyperspectral Image Data Compression.
  19. Index.
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