Wavelet-based compression of multichannel climate data

Ershad Sharifahmadian; Yoonsuk Choi; Shahram Latifi; Sergiu Dascalu; Frederick C. Harris

doi:10.1117/12.2050915

22 May 2014 Wavelet-based compression of multichannel climate data

Ershad Sharifahmadian, Yoonsuk Choi, Shahram Latifi, Sergiu Dascalu, Frederick C. Harris

Proceedings Volume 9124, Satellite Data Compression, Communications, and Processing X; 91240B (2014) https://doi.org/10.1117/12.2050915
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Ershad Sharifahmadian, Yoonsuk Choi, Shahram Latifi, Sergiu Dascalu, and Frederick C. Harris "Wavelet-based compression of multichannel climate data", Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 91240B (22 May 2014); https://doi.org/10.1117/12.2050915

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