A Near-lossless Compression Technique of Multispectral Image Data
一种多光谱遥感图象的近无损压缩方法

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.