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Hyperspectral Data Compression
. Ed(S): Motta, Giovanni; Rizzo, Francesco; Storer, James A.
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Description for Hyperspectral Data Compression
Hardback. Provides a survey of results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. This work covers topics such as compression architecture, lossless compression, lossy techniques, and more. It also describes a lossless algorithm based on vector quantization. Editor(s): Motta, Giovanni; Rizzo, Francesco; Storer, James A. Num Pages: 430 pages, biography. BIC Classification: RGW; TTB. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 23. Weight in Grams: 779.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2005
Publisher
Springer-Verlag New York Inc. United States
Number of pages
430
Condition
New
Number of Pages
418
Place of Publication
New York, NY, United States
ISBN
9780387285795
SKU
V9780387285795
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About . Ed(S): Motta, Giovanni; Rizzo, Francesco; Storer, James A.
James A. Storer is Chair of the IEEE Data Compression Conference.
Reviews for Hyperspectral Data Compression
From the reviews: "Motta, Rizzo, and Storer … are veterans in the field of data compression, both individually and collaboratively. They bring together a concentrated set of contributed papers, focusing on compressing hyperspectral (multidimensional) data. … This compendium describes cutting-edge compression technology, and is sure to occupy an important position in the current literature of ... Read more