Wavelet Analysis of Space Solar Telescope Images

The scientific satellite SST (Space Solar Telescope) is an important research project strongly supported by the Chinese Academy of Sciences. Every day,SST acquires 50 GB of data (after processing) but only 10GB can be transmitted to the ground because of limited time of satellite passage and limited channel volume.Therefore, the data must be compressed before transmission. Wavelets analysis is a new technique developed over the last 10 years, with great potential of application.We start with a brief introduction to the essential principles of wavelet analysis,and then describe the main idea of embedded zerotree wavelet coding, used for compressing the SST images. The results show that this coding is adequate for the job.

作 者： Xi-An Zhu Sheng-Zhen Jin Jing-Yu Wang Shu-Nian Ning   作者單位： Xi-An Zhu(National Astronomical Observatories, Chinese Academy of Science, Beijing 100012;Department of Mechanical and Electric Engineering, China College of Mining and Technology, Beijing 100083)

Sheng-Zhen Jin,Jing-Yu Wang,Shu-Nian Ning(National Astronomical Observatories, Chinese Academy of Science, Beijing 100012) 

刊 名： 天體物理學(xué)報(bào)(英文版)  ISTIC SCI 英文刊名： CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS  年，卷(期)： 2003 3(6)  分類號(hào)： P14  關(guān)鍵詞： stars: images - techniques: image processing - methods: wavelet analysis  

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