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Efficient Data Compression Techniques for Weather Data

机译:天气数据的高效数据压缩技术

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We collaborated with the Naval Research Laboratory (NRL), Marine Meteorology Division in Monterey, CA to develop novel and efficient data compression techniques for weather data. We developed a differential coding algorithm for lossless compression of radar data by using motion estimation and compensation techniques, with the collateral development of a fast block matching method to improve the computational efficiency of motion estimation schemes. We also improved the compression efficiency of the existing UF file compressor by introducing a new coding method, which exploited the large concentration of blankout markers in the quality-controlled radar data. Furthermore, we studied the feasibility of further compression of the satellite weather images stored in JPEG format. As a result of collaboration with the NRL researchers, the improved and standardized UF radar data file compressor software has been transitioned to testing and installation on ships.

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