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http://hdl.handle.net/10553/57518
| Title: | A near lossless data compression method for the Geostationary Interferometric Infrared Sounder (GIIRS) based on the combination of decimation and quantization | Authors: | Yang, Minzhu Guerra Hernández, Raúl Celestino Han, Changpei López Feliciano, José Francisco |
UNESCO Clasification: | 3307 Tecnología electrónica | Keywords: | GIIRS Near lossless Compression Norm CR |
Issue Date: | 2019 | Conference: | 8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019 | Abstract: | Data from the Geostationary Interferometric Infrared Sounder (GIIRS) is critical in the domain of meteorological research. Due to limitations in the communications bandwidth, methods to compress the data captured by this instrument are mandatory. This paper is mainly focused on near lossless compression for interferogram data. According to the definition of it, a norm with different thresholds is put forward for qualifying the near lossless compression algorithm. Subsequently, the authors propose and describe a near lossless compression scheme based on decimation and quantization, and then employ various GIIRS data to evaluate this scheme. The experimental results show that this combination plan is able to reach compression ratios (CRs) range from 7.80 to 23.72 within the requirements of the norm. | URI: | http://hdl.handle.net/10553/57518 | ISBN: | 9781538681787 | DOI: | 10.1109/ITAIC.2019.8785868 | Source: | Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019. 24-26 May 2019, Chongqing, China. p. 1343-1347 (18900936) |
| Appears in Collections: | Actas de congresos |
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