《Hyperspectral Data Compression》是2005年出版的圖書，作者是Motta, Giovanni、Rizzo, FrancescoStorer, James A.。
基本介紹
- 外文名：Hyperspectral Data Compression
- 作者：Motta, Giovanni、Rizzo, FrancescoStorer, James A.
- 出版時間：2005年11月
- ISBN：9780387285795
內容簡介
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.
