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Hyperspectral Data Compression
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Description for Hyperspectral Data Compression
Paperback. Editor(s): Motta, Giovanni; Rizzo, Francesco; Storer, James A. Num Pages: 430 pages, biography. BIC Classification: RGW; TTB. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 642. 430 pages, black & white illustrations. Editor(s): Motta, Giovanni; Rizzo, Francesco; Storer, James A. Cateogry: (P) Professional & Vocational. BIC Classification: RGW; TTB. Dimension: 235 x 155 x 21. Weight: 642.
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
Paperback
Publication date
2010
Publisher
Springer
Number of pages
430
Condition
New
Number of Pages
418
Place of Publication
New York, NY, United States
ISBN
9781441939432
SKU
V9781441939432
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About N/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