Hyperspectral Data Compression
Author | : Giovanni Motta |
Publisher | : Springer Science & Business Media |
Total Pages | : 422 |
Release | : 2006-06-03 |
ISBN-10 | : 9780387286006 |
ISBN-13 | : 0387286004 |
Rating | : 4/5 (004 Downloads) |
Download or read book Hyperspectral Data Compression written by Giovanni Motta and published by Springer Science & Business Media. This book was released on 2006-06-03 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.