Overview
- 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 remote sensing 3D data with chapters contributed by leading researchers in the area
- The only book currently on the market which focuses on the newest areas of research: multispectral and hyperspectral imagery
- Includes supplementary material: sn.pub/extras
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (13 chapters)
Keywords
About this book
Reviews
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 the field. The editors have accomplished their goal of making this technology available to the educational and industrial communities." (R. Goldberg, Computing Reviews, Vol. 50 (1), January, 2009)
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Hyperspectral Data Compression
Editors: Giovanni Motta, Francesco Rizzo, James A. Storer
DOI: https://doi.org/10.1007/0-387-28600-4
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2006
Hardcover ISBN: 978-0-387-28579-5Published: 17 November 2005
Softcover ISBN: 978-1-4419-3943-2Published: 29 October 2010
eBook ISBN: 978-0-387-28600-6Published: 03 June 2006
Edition Number: 1
Number of Pages: XII, 418
Topics: Information Storage and Retrieval, Data Storage Representation, Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision