22 May 2014 Wavelet-based compression of multichannel climate data
Author Affiliations +
Abstract
To simultaneously compress multichannel climate data, the Wavelet Subbands Arranging Technique (WSAT) is studied. The proposed technique is based on the wavelet transform, and has been designed to improve the transmission of voluminous climate data. The WSAT method significantly reduces the number of transmitted or stored bits in a bit stream, and preserves required quality. In the proposed technique, the arranged wavelet subbands of input channels provide more efficient compression for multichannel climate data due to building appropriate parent-offspring relations among wavelet coefficients. To test and evaluate the proposed technique, data from the Nevada climate change database is utilized. Based on results, the proposed technique can be an appropriate choice for the compression of multichannel climate data with significantly high compression ratio at low error.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ershad Sharifahmadian, Ershad Sharifahmadian, Yoonsuk Choi, Yoonsuk Choi, Shahram Latifi, Shahram Latifi, Sergiu Dascalu, Sergiu Dascalu, Frederick C. Harris, Frederick C. Harris, "Wavelet-based compression of multichannel climate data", Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 91240B (22 May 2014); doi: 10.1117/12.2050915; https://doi.org/10.1117/12.2050915
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Seismic data compression based on wavelet transform
Proceedings of SPIE (October 30 2014)
Wavelet analysis of global warming
Proceedings of SPIE (August 26 1993)
Multiscale analysis of climate data in Changchun, China
Proceedings of SPIE (October 30 2009)
Image retrieval based on wavelet vector quantization
Proceedings of SPIE (September 30 1998)
Wavelet domain textual coding of Ottoman script images
Proceedings of SPIE (February 26 1996)

Back to Top