| 书目名称 | Hyperspectral Data Compression |
| 编辑 | Giovanni Motta,Francesco Rizzo,James A. Storer |
| 视频video | |
| 概述 | An excellent technical reference for both academic and industrial researchers in the fields of computer science and engineering.A compilation of the most current results in the field of compression of |
| 图书封面 |  |
| 描述 | .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. |
| 出版日期 | Book 2006 |
| 关键词 | 3D; 3D wavelet-based image compression; Hyperspectral Image Data Compression; Hyperspectral Imagery; JPE |
| 版次 | 1 |
| doi | https://doi.org/10.1007/0-387-28600-4 |
| isbn_softcover | 978-1-4419-3943-2 |
| isbn_ebook | 978-0-387-28600-6 |
| copyright | Springer-Verlag US 2006 |
发表于 2025-3-21 16:51:29
