Abstract
In this paper, we apply a fast 3D-SPIHT to compress hyperspectral images. The method uses a tree information matrix to determine whether a tree is significant or insignificant during encoding process. Experiments with AVIRIS data show that it is possible to save about 70% of processing time.
Original language | English |
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Pages | 3586-3588 |
Number of pages | 3 |
Publication status | Published - 2003 |
Event | 2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France Duration: 2003 Jul 21 → 2003 Jul 25 |
Other
Other | 2003 IGARSS: Learning From Earth's Shapes and Colours |
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Country | France |
City | Toulouse |
Period | 03/7/21 → 03/7/25 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Earth and Planetary Sciences(all)