Paper
18 August 2005 Current status of ultraspectral sounder data compression
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Abstract
This paper presents current status of lossless compression of ultraspectral sounder data. The lossless compression results from the transform-based (e.g. JPEG2000, 3D SPIHT, and Lossless PCA), prediction-based (e.g. JPEG-LS, CALIC, and linear prediction using OOMP), and clustering-based (e.g. PVQ, DPVQ, PPVQ and FPVQ) methods are presented. The ultraspectral sounder data features strong correlations in disjoint spectral regions affected by the same type of absorbing gases. Some robust data preprocessing scheme (e.g. BAR) is also demonstrated to improve compression gains of existing state-of-the-art compression methods such as JPEG2000, 3D SPIHT, JPEG-LS, and CALIC.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy J. Schmit, and Roger W. Heymann "Current status of ultraspectral sounder data compression", Proc. SPIE 5889, Satellite Data Compression, Communications, and Archiving, 588906 (18 August 2005); https://doi.org/10.1117/12.618909
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Cited by 2 scholarly publications.
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KEYWORDS
Quantization

JPEG2000

Principal component analysis

Data compression

Image compression

Gases

Computer programming

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