Hyperspectral data compression

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.