P2.1 Lossless Coding and Compression of Radar Reflectivity Data
نویسنده
چکیده
The coding and compression of weather imagery can be improved by following a domain-specific approach in which the characteristics of the data are taken into account in devising the encoding scheme. We show that by predicting that the next valid data element is identical to the current one, a dramatic reduction in source entropy (information content) is achieved. We also show that encoding runs of missing values in combination with such a prediction scheme makes further compression unnecessary. Finally, the method introduced in this paper is compared with existing methods and shown to outperform all of them.
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