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Hardware Implementation of Lossless Adaptive and Scalable Hyperspectral Data Compression for SpaceOn-board lossless hyperspectral data compression reduces data volume in order to meet NASA and DoD limited downlink capabilities. The technique also improves signature extraction, object recognition and feature classification capabilities by providing exact reconstructed data on constrained downlink resources. At JPL a novel, adaptive and predictive technique for lossless compression of hyperspectral data was recently developed. This technique uses an adaptive filtering method and achieves a combination of low complexity and compression effectiveness that far exceeds state-of-the-art techniques currently in use. The JPL-developed 'Fast Lossless' algorithm requires no training data or other specific information about the nature of the spectral bands for a fixed instrument dynamic range. It is of low computational complexity and thus well-suited for implementation in hardware. A modified form of the algorithm that is better suited for data from pushbroom instruments is generally appropriate for flight implementation. A scalable field programmable gate array (FPGA) hardware implementation was developed. The FPGA implementation achieves a throughput performance of 58 Msamples/sec, which can be increased to over 100 Msamples/sec in a parallel implementation that uses twice the hardware resources This paper describes the hardware implementation of the 'Modified Fast Lossless' compression algorithm on an FPGA. The FPGA implementation targets the current state-of-the-art FPGAs (Xilinx Virtex IV and V families) and compresses one sample every clock cycle to provide a fast and practical real-time solution for space applications.
Document ID
Document Type
Conference Paper
External Source(s)
Aranki, Nazeeh
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Keymeulen, Didier
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Bakhshi, Alireza
(B&A Engineering Systems, Inc. Costa Mesa, CA, United States)
Klimesh, Matthew
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
May 19, 2015
Publication Date
July 29, 2009
Subject Category
Computer Operations And Hardware
Electronics And Electrical Engineering
Meeting Information
NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2009)(San Francisco, CA)
Distribution Limits
FPGA implementation
space borne instrument

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