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 |
|---|---|
| Pages | 3586-3588 |
| Number of pages | 3 |
| Publication status | Published - 2003 Nov 24 |
| 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 |
|---|---|
| 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)
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Cite this
Kim, H., Choe, J., & Lee, C. (2003). Fast Implementation of 3-D SPIHT using Tree Information Matrix. 3586-3588. Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France.