Hyperspectral imaging technology is the foreland of the remote sensing development in the 21st century and is one of the
most important focuses of the remote sensing domain. Hyperspectral images can provide much more information than
multispectral images do and can solve many problems which can't be solved by multispectral imaging technology.
However this advantage is at the cost of massy quantity of data that brings difficulties of images' process, storage and
transmission. Research on hyperspectral image compression method has important practical significance. This paper
intends to do some improvement of the famous KLT-WT-2DSPECK
(Karhunen-Loeve transform+ wavelet
transformation+ two-dimensional set partitioning embedded block compression) algorithm and advances KLT + bands
combination 2DWT + 2DSPECK algorithm. Experiment proves that this method is effective.