摘要
为了提高星地传输的工作效率,文章以信息论为理论基础,提出一种差分编码方法用于星地遥感数据的传输。同时,鉴于地表覆盖本身的不确定度与应用需求的不同,提出了分区预测差分编码与保持立体测量精度的差分编码。这两种压缩策略可进一步显著提高差分编码的压缩比。
In order to improve work efficiency of data transmission between satellite and the Earth,the paper proposes a differential coding method for satellite remote sensing data transmission based on the information theory.By considering the uncertainty of different land covers and different application purposes,a district forecast differential coding method and a stereo measurement precision protection method for differential coding are proposed.Both of the two compression strategies can further improve the compression rates of differential coding.
出处
《航天器工程》
2011年第5期4-10,共7页
Spacecraft Engineering
基金
国家自然科学基金:空间数据的信息量与不确定性分析(41071286)
关键词
遥感
数据传输
数据压缩
差分编码
信息量
remote sensing
data transmission
data compression
differential coding
information amount
