Paper
18 August 2005 Ultraspectral sounder data compression using error-detecting reversible variable-length coding
Author Affiliations +
Abstract
Nonreversible variable-length codes (e.g. Huffman coding, Golomb-Rice coding, and arithmetic coding) have been used in source coding to achieve efficient compression. However, a single bit error during noisy transmission can cause many codewords to be misinterpreted by the decoder. In recent years, increasing attention has been given to the design of reversible variable-length codes (RVLCs) for better data transmission in error-prone environments. RVLCs allow instantaneous decoding in both directions, which affords better detection of bit errors due to synchronization losses over a noisy channel. RVLCs have been adopted in emerging video coding standards--H.263+ and MPEG-4--to enhance their error-resilience capabilities. Given the large volume of three-dimensional data that will be generated by future space-borne ultraspectral sounders (e.g. IASI, CrIS, and HES), the use of error-robust data compression techniques will be beneficial to satellite data transmission. In this paper, we investigate a reversible variable-length code for ultraspectral sounder data compression, and present its numerical experiments on error propagation for the ultraspectral sounder data. The results show that the RVLC performs significantly better error containment than JPEG2000 Part 2.
© (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 "Ultraspectral sounder data compression using error-detecting reversible variable-length coding", Proc. SPIE 5889, Satellite Data Compression, Communications, and Archiving, 58890J (18 August 2005); https://doi.org/10.1117/12.618944
Lens.org Logo
CITATIONS
Cited by 9 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
JPEG2000

Data compression

Wavelet transforms

Wavelets

Atmospheric propagation

Image resolution

Satellites

Back to Top