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Proceedings Paper

Lossy data compression for next-generation imager data
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Paper Abstract

In the next decade, the volume of data produced by satellite-based remote sensing instruments will increase dramatically. The success of the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments validates the decisions of government agencies to seek higher spectral and spatial resolution in the next generation of polar-orbiting and geosynchronous imagers, but transmitting the resulting high amounts of data to the Earth within constraints of available bandwidth will require new approaches to onboard data compression. In particular, the limitations of bandwidth will force greater use of lossy data compression, particularly in spectral channels with high spatial resolution, such as the reflective channels proposed for the Geostationary Operational Environmental Satellite (GOES) Advanced Baseline Imager (ABI), which will fly on GOES-R in 2012. In this study, we present analyses of the trade between two candidate lossy data compression algorithms, JPEG and JPEG-2000, for the encoding of reflective channel data from the ABI. These analyses include application to two types of real data: MODIS imagery and MODIS Airborne Simulator (MAS) imagery. The MODIS images are processed directly; the 50-m resolution MAS images are first run through a basic simulation of ABI spatial and radiometric response. In both cases, spectral channels corresponding to those that will be lossily compressed on ABI are available to support the performance trades between JPEG and JPEG-2000. The performance results are expressed in terms of peak signal to noise ratio (PSNR) and correlated noise, and they are placed in context with an assessment of the current technology readiness level (TRL) of the two standards.

Paper Details

Date Published: 14 October 2004
PDF: 8 pages
Proc. SPIE 5548, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective, (14 October 2004); doi: 10.1117/12.562624
Show Author Affiliations
Shawn W. Miller, Raytheon IIS (United States)
Jeffery J. Puschell, Raytheon SAS (United States)


Published in SPIE Proceedings Vol. 5548:
Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective
Hung-Lung Allen Huang; Hal J. Bloom, Editor(s)

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