ENGLISH

Hyperspectral data compression

By Giovanni Motta , Francesco Rizzo , James A. Storer

Book information

Publisher
Springer
Year
2005
ISBN
0387285792, 9780387285795, 9780387286006
LCC
TA1632 .H97 2005
Open Library ID
OL22718934M
Language
english
Format
PDF
Filesize
45 MB (47351024 bytes)
Edition
1
Pages
421\421
Library
mexmat
Scanned
no
Time added
2009-07-20 03:45:11

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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