
The Spectral Image Decomposition (SPID) compres- sor uses techniques borrowed from spectral image analysis to achieve a high degree of compression on hyperspectral images. The purpose of this compressor is to provide real-time compres- sion for images captured one line at a time using a "push-broom" method. In addition, the process is aimed at platforms such as satellites where only limited hardware may be deployed; memory, CPU time, and storage space must all be conserved. Spectral image decomposition and temporal differencing techniques were used to achieve a compression ratio of 23:1 in a low error near- lossless mode and 4.25:1 in lossless mode. SPID is a flexible compressor that can provide optimal performance for a variety of objectives.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
