近无损压缩是在无损压缩和有损压缩之间的一种折衷。多光谱遥感图象的近无损压缩通常用K－L变换去除谱间冗余，用数字余弦变换（DCT）去除空间冗余来实现。本文分析了多光谱遥感图象空间冗余和谱间冗余的特点，提出用K－L变换和预测树方法去除两类冗余。该方法更好地去除了谱间冗余，取得了较好的实验结果。

Near lossless compression is a trade off between lossy compression and lossless compression.Usually,K-L transformation is used for spectral decorrelation,and DC transformation is used for spatial decorrelation,when multispectral images were near lossless compressed.In this paper,we analyzed the correlation of multispectral images,classified the spectral correlation as statistical correlation and structural correlation.Then we proposed a newtechnique: K-L transformation was used for statistical spectral decorrelation,and prediction tree technique was used for structural spectral decorrelation and spatial decorrelation.This technique removed spectral correlation effectively and gave a better experimental result than K-L-T and DCT.