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当遥感的数据率超过数据传输系统的传输能力时,一种有效的解决办法是采用数据压缩。变换编码是数据压缩中较为有效的方法。本文在H空间中引入微分算子,并用变分法证明在最小均方误差准则下的最佳线性变换是K-L变换。
An effective solution to this problem is to use data compression when the data rate of remote sensing exceeds the data transmission system’s transmission capacity. Transform coding is a more efficient method of data compression. In this paper, the differential operator is introduced in H-space, and the variational method is used to prove that the best linear transform under the minimum mean square error criterion is the K-L transform.