Abstract
This paper, proposes a new approach for compression of hyper-spectral images that can provide a bound on the distortion introduced. The technique involves an adaptive re-ordering of the spectral components of each pixel. The proposed approach takes advantage of spatial and spectral correlations in hyper-spectral data sets, potentially leading to improved compression over standard nearly lossless techniques that encode the image spatially one band at a time. Preliminary results demonstrating the effectiveness of the approach are presented.
| Original language | English (US) |
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| Title of host publication | International Geoscience and Remote Sensing Symposium (IGARSS) |
| Publisher | IEEE |
| Pages | 1039-1041 |
| Number of pages | 3 |
| Volume | 2 |
| State | Published - 1996 |
| Event | Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) - Lincoln, NE, USA Duration: May 28 1996 → May 31 1996 |
Other
| Other | Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) |
|---|---|
| City | Lincoln, NE, USA |
| Period | 5/28/96 → 5/31/96 |
ASJC Scopus subject areas
- Software
- Geology