Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/57518
Título: A near lossless data compression method for the Geostationary Interferometric Infrared Sounder (GIIRS) based on the combination of decimation and quantization
Autores/as: Yang, Minzhu
Guerra Hernández, Raúl Celestino 
Han, Changpei
López Feliciano, José Francisco 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: GIIRS
Near lossless Compression
Norm
CR
Fecha de publicación: 2019
Conferencia: 8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019 
Resumen: 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
Fuente: 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)
Colección:Actas de congresos
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