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Hyperspectral data compression

Format Post in Programming BY Francesco Rizzo, Giovanni Motta, James A. Storer

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Hyperspectral data compression Francesco Rizzo, Giovanni Motta, James A. Storer is available to download

Hyperspectral data compression
Francesco Rizzo, Giovanni Motta, James A.Hyperspectral data compression Textbook Storer
Type: eBook
Released: 2010
Publisher: Springer
Page Count: 421
Format: pdf
Language: English
ISBN-10: 1441939431
ISBN-13: 9781441939432
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.

Hyperspectral data compression

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