Hyperspectral Data Compression
ISBN-13:
9781441939432
ISBN-10:
1441939431
Edition:
Softcover reprint of hardcover 1st ed. 2006
Author:
Giovanni Motta, Francesco Rizzo, James A. Storer
Publication date:
2010
Publisher:
Springer
Format:
Paperback
430 pages
FREE US shipping
Book details
ISBN-13:
9781441939432
ISBN-10:
1441939431
Edition:
Softcover reprint of hardcover 1st ed. 2006
Author:
Giovanni Motta, Francesco Rizzo, James A. Storer
Publication date:
2010
Publisher:
Springer
Format:
Paperback
430 pages
Summary
Hyperspectral Data Compression (ISBN-13: 9781441939432 and ISBN-10: 1441939431), written by authors
Giovanni Motta, Francesco Rizzo, James A. Storer, was published by Springer in 2010.
With an overall rating of 3.6 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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