Mr. William Sidney Cook Profile

William Sidney Cook

at Lockheed Martin Co

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Proceedings Article | 2 February 2004

Evaluation of algorithms for compressing hyperspectral data

Sid Cook, Joseph Harsanyi, Vance Faber

Proc. SPIE. 5234, Sensors, Systems, and Next-Generation Satellites VII

KEYWORDS: Data compression, Image compression, Sensors, Image processing, Error analysis, Field programmable gate arrays, Image sensors, Signal processing, Space operations, Data communications

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With EO-1 Hyperion in orbit NASA is showing their continued commitment to hyperspectral imaging (HSI). As HSI sensor technology continues to mature, the ever-increasing amounts of sensor data generated will result in a need for more cost effective communication and data handling systems. Lockheed Martin, with considerable experience in spacecraft design and developing special purpose onboard processors, has teamed with Applied Signal & Image Technology (ASIT), who has an extensive heritage in HSI spectral compression and Mapping Science (MSI) for JPEG 2000 spatial compression expertise, to develop a real-time and intelligent onboard processing (OBP) system to reduce HSI sensor downlink requirements. Our goal is to reduce the downlink requirement by a factor > 100, while retaining the necessary spectral and spatial fidelity of the sensor data needed to satisfy the many science, military, and intelligence goals of these systems. Our compression algorithms leverage commercial-off-the-shelf (COTS) spectral and spatial exploitation algorithms. We are currently in the process of evaluating these compression algorithms using statistical analysis and NASA scientists. We are also developing special purpose processors for executing these algorithms onboard a spacecraft.

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