22 December 2006 Lossless compression studies for real-time rebroadcast of data from NOAA's future advanced GOES sounders
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Abstract
This paper presents systematic lossless data compression studies conducted at Cooperative Institute of Meteorological Satellite Studies (CIMSS), University of Wisconsin-Madison in support of the real-time rebroadcast of NOAA's future GOES ultraspectral sounders. Ultraspectral sounders provide data with high spectral and spatial resolutions. Since an ultraspectral sounder could be either a grating spectrometer or a Michelson interferometer, we have investigated/developed various 2D and 3D lossless compression techniques for both grating and interferometer data. The lossless compression results are obtained and compared from wavelet/multiwavelt transform-based (e.g. JPEG2000, 3D SPIHT, MWT), prediction-based (e.g. JPEG-LS, CALIC), projection-based (e.g. Lossless PCA, Optimized Orthogonal Matching Pursuit-based Linear Prediction, PLT), and clustering-based (e.g. PPVQ, FPVQ, AVQLP) methods. Robust data preprocessing schemes (e.g. BAR, MST reordering) are also demonstrated to improve compression gains of existing state-of-the-art compression methods such as JPEG2000, 3D SPIHT, JPEG-LS, and CALIC for high-spectral-resolution data compression. Our studies show that high lossless compression gains are achievable for both grating and interferometer data.
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Bormin Huang, Bormin Huang, Alok Ahuja, Alok Ahuja, Yagneswaran Sriraja, Yagneswaran Sriraja, Hung-Lung Huang, Hung-Lung Huang, } "Lossless compression studies for real-time rebroadcast of data from NOAA's future advanced GOES sounders", Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 640526 (22 December 2006); doi: 10.1117/12.694001; https://doi.org/10.1117/12.694001
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