Abstract
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.
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