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FPGA Provides Speedy Data Compression for Hyperspectral Imagery

July 14, 2014 0 Comments news , published-article
B&A Engineering principal engineer Ali Bakhshi wrote an article on the lossless compression algorithm on a Vertex-5 FPGA. discirbing how the implementation provides the ablitity to keep up with the deluge of image data produced on an onboard spaceborne hyperspectral imaging instruments.
Engineers implement the “Fast Lossless” compression algorithm on a Virtex-5 FPGA; this implementation provides the ability to keep up with the deluge of image data produced onboard spaceborne hyperspectral imaging instruments.
Spaceborne hyperspectral imaging instruments produce enormous volumes of data that can easily overwhelm limited space communications channels. This gives rise to the need for efficient on-board hyperspectral data compression.
Current spaceborne NASA hyperspectral imaging instruments either avoid onboard compression or make use of only limited lossless image compression techniques during transmission. For example, the current state-of-practice for low-complexity space-qualified lossless compression hardware is to use the Universal Source Encoder for Space (USES) chip [1]. The USES chip implements the one-dimensional Rice coding compression algorithm, as formalized in a standard produced by the consultative committee for space data systems (CCSDS) [2]. The use of a spectral prediction as a preprocessing step allows one to exploit correlations among spectral bands of a hyperspectral image. This approach provides radiation-resistance using currently available hardware, but it achieves limited compression effectiveness compared to state-of-the-art techniques designed specifically for hyperspectral imagery.

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