中文摘要：

针对大孔径静态干涉成像光谱仪LASIS的成像特点,提出了一种基于三维小波变换的无链表SPITH算法结合感兴趣谱段保护的图像压缩方案。首先,对高光谱干涉图像序列进行三维非对称等长树离散小波变换。其次,采用感兴趣谱段方法保护重要光谱信息。最后,对无链表三维SPITH算法进行改进,以有效编码高光谱干涉图像的小波变换域。实验结果表明,该方法在8：1压缩比下,获得大于40dB的峰值信噪比,同时有效的保护了光谱信息。

英文摘要：

A compression algorithm based on 3D-DWT and listless 3D SPIHT in conjunction with Band of Interest （BOI） for hyperspectral images is presented. It is specially developed for the LASIS （Large Aperture Static Imaging Spectrometer） system according to its interference properties. Firstly, decompose the hyperspectral image sequences with asymmetric uniform-tree 3D-DWT. Secondly, protect its major hyperspectral coefficients by BOI method. Finally, give a modified listless 3DSPIHT algorithm to encode the transformed images. The numerical experiment results show that the Peak Signal-to-noise Ratio （PNSR） is more than 40 dB at 8：1 compression rate; and achieves an efficient protection of hyperspectral information.