首页|Lossless Compression Method for the Magnetic and Helioseismic Imager(MHI)Payload

Lossless Compression Method for the Magnetic and Helioseismic Imager(MHI)Payload

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The Solar Polar-orbit Observatory(SPO),proposed by Chinese scientists,is designed to observe the solar polar regions in an unprecedented way with a spacecraft traveling in a large solar inclination angle and a small ellipticity.However,one of the most significant challenges lies in ultra-long-distance data transmission,particularly for the Magnetic and Helioseismic Imager(MHI),which is the most important payload and generates the largest volume of data in SPO.In this paper,we propose a tailored lossless data compression method based on the measurement mode and characteristics of MHI data.The background out of the solar disk is removed to decrease the pixel number of an image under compression.Multiple predictive coding methods are combined to eliminate the redundancy utilizing the correlation(space,spectrum,and polarization)in data set,improving the compression ratio.Experimental results demonstrate that our method achieves an average compression ratio of 3.67.The compression time is also less than the general observation period.The method exhibits strong feasibility and can be easily adapted to MHI.

methods:data analysistechniques:image processingSun:magnetic fieldsSun:photosphere

Li-Yue Tong、Jia-Ben Lin、Yuan-Yong Deng、Kai-Fan Ji、Jun-Feng Hou、Quan Wang、Xiao Yang

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National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China

Key Laboratory of Solar Activity and Space Weather,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China

School of Astronomy and Space Science,University of Chinese Academy of Sciences,Beijing 100049,China

Yunnan Observatories,Chinese Academy of Sciences,Kunming 650216,China

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National Key R&D Program of ChinaNational Natural Science Foundation of China(NSFC)Strategic Priority Research Program of the Chinese Academy of Sciences(CAS-SPP)Youth Innovation Promotion Association(CAS)

2022YFF050380011427901XDA153201022022057

2024

天文和天体物理学研究
中国科学院国家天文台

天文和天体物理学研究

CSTPCD
影响因子:0.406
ISSN:1674-4527
年,卷(期):2024.24(4)