Share Email Print

Proceedings Paper

Hyperspectral image compression using bands combination wavelet transformation
Author(s): Wenjie Wang; Zhongming Zhao; Haiqing Zhu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Hyperspectral imaging technology is the foreland of the remote sensing development in the 21st century and is one of the most important focuses of the remote sensing domain. Hyperspectral images can provide much more information than multispectral images do and can solve many problems which can't be solved by multispectral imaging technology. However this advantage is at the cost of massy quantity of data that brings difficulties of images' process, storage and transmission. Research on hyperspectral image compression method has important practical significance. This paper intends to do some improvement of the famous KLT-WT-2DSPECK (Karhunen-Loeve transform+ wavelet transformation+ two-dimensional set partitioning embedded block compression) algorithm and advances KLT + bands combination 2DWT + 2DSPECK algorithm. Experiment proves that this method is effective.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749810 (30 October 2009); doi: 10.1117/12.833040
Show Author Affiliations
Wenjie Wang, Institute of Remote Sensing Applications (China)
Zhongming Zhao, Institute of Remote Sensing Applications (China)
Haiqing Zhu, Institute of Remote Sensing Applications (China)

Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top