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Hyperspectral Data Compression
Hyperspectral Data Compression
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Hyperspectral Data Compression

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Paperback / softback
$444.00
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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.

Author Biography:

James A. Storer is Chair of the IEEE Data Compression Conference.
Release date NZ
October 29th, 2010
Audience
  • Professional & Vocational
Contributors
  • Edited by Francesco Rizzo
  • Edited by Giovanni Motta
  • Edited by James A. Storer
Edition
Softcover reprint of hardcover 1st ed. 2006
Illustrations
XII, 418 p.
Pages
418
Dimensions
156x234x22
ISBN-13
9781441939432
Product ID
9949419

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