Hyperspectral Data Compression
ISBN-13:
9780387285795
ISBN-10:
0387285792
Edition:
2006
Author:
Giovanni Motta, Francesco Rizzo, James A. Storer
Publication date:
2005
Publisher:
Springer
Format:
Hardcover
430 pages
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Book details
ISBN-13:
9780387285795
ISBN-10:
0387285792
Edition:
2006
Author:
Giovanni Motta, Francesco Rizzo, James A. Storer
Publication date:
2005
Publisher:
Springer
Format:
Hardcover
430 pages
Summary
Hyperspectral Data Compression (ISBN-13: 9780387285795 and ISBN-10: 0387285792), written by authors
Giovanni Motta, Francesco Rizzo, James A. Storer, was published by Springer in 2005.
With an overall rating of 4.1 stars, it's a notable title among other
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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.
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