Hyperspectral Data Compression is popular PDF and ePub book, written by Giovanni Motta in 2006-06-03, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Hyperspectral Data Compression can be Read Online from any device for your convenience.
Hyperspectral Data Compression Book PDF Summary
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.
Detail Book of Hyperspectral Data Compression PDF
- Author : Giovanni Motta
- Release : 03 June 2006
- Publisher : Springer Science & Business Media
- ISBN : 9780387286006
- Genre : Computers
- Total Page : 422 pages
- Language : English
- PDF File Size : 14,6 Mb
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