IEEE1394 and entropy reduction techniques as applied to remote sensing spacecraft communication systems

Paolo Masini; Richard L. Julian; Kenneth L. Jensen

doi:10.1117/12.580674

10 January 2005 IEEE1394 and entropy reduction techniques as applied to remote sensing spacecraft communication systems

Paolo Masini, Richard L. Julian, Kenneth L. Jensen

Proceedings Volume 5657, Image Processing and Pattern Recognition in Remote Sensing II; (2005) https://doi.org/10.1117/12.580674
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

Abstract

This paper describes work being done at Raytheon-Santa Barbara Remote Sensing (SBRS) in the area of entropy reduction of remote sensing data on the National Polar-Orbiting Operational Environmental Satellite System (NPOESS) Visible/Infrared Imager/Radiometer Suite (VIIRS) instrument. The VIIRS instrument will produce the largest amount of data on the NPOESS satellite platform, and thus has the greatest impact on data rate. The VIIRS instrument produces 22 bands of radiometric and imaging data, which must be transmitted to the spacecraft without loss of data integrity. VIIRS uses an implementation of the RICE algorithm, along with spectral subtraction and data trimming that are described in this paper, to provide lossless data compression. This paper will also describe a simulation that predicted the data reduction performance and the resulting sensor data rates when VIIRS observes the earth from orbit. This paper will also describe the VIIRS implementation of the Fault Tolerant 1394 data network that utilizes the 1394 ASIC chipset developed by the NPOESS Integrated Program Office (IPO) and Northrop Grumman Space and Technology (NGST). This high-speed network will facilitate the reliable transmission of large amounts of compressed and uncompressed science and telemetry data from the VIIRS instrument to the NPOESS spacecraft.

Citation Download Citation

Paolo Masini, Richard L. Julian, and Kenneth L. Jensen "IEEE1394 and entropy reduction techniques as applied to remote sensing spacecraft communication systems", Proc. SPIE 5657, Image Processing and Pattern Recognition in Remote Sensing II, (10 January 2005); https://doi.org/10.1117/12.580674

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KEYWORDS

Sensors

Space operations

Electronics

Data compression

Data processing

Satellites

MODIS

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