遥感干涉超光谱图像压缩编码

基于卫星干涉超光谱成像光谱仪成像原理的分析,提出了一种新的遥感超光谱图像压缩方案，利用成像推扫平移特性提出一种低存储量，帧间小波域匹配的序列压缩，只需存储两帧图像，比起单帧处理提高图像PSNR 3-4dB.为了保护图像的光谱特征，系统采用了一种新的感兴趣区域（Region of interest, ROI） 编码技术，使系统的压缩比提高8倍以上.该感兴趣区域（ROI）编码采用率失真优化斜率提升，而不是比特平面移位，使图像在相同的光谱分辨率下拥有更好的空间分辨率.试验数据表明，算法大大保护了图像的光谱特性，在8倍压缩比情况时，满足卫星干涉超光谱遥感图像要求.

The Image Compression Scheme for Remote Sense Superspectral Images

A new compression scheme of satellite interferential superspectral images is proposed based on the analyses of satellite superspectral images. There are two novelties in the scheme: the first is that the compression coding is an image sequence compression method with low memory, which utilizes the matching algorithm in the wavelet domain to remove the redundancy between the two successive frames; The second is that in order to protect the information of the spectrum the scheme adopts a new ROI (Region Of Interest ) coding algorithm, in which the lifting procedure is carried out in code stream organization stage. As results, the low coding efficiency situation due to the nature of the bitplane shift methods could be improved, which enables the high fidelity in the background (BG) and makes better qualities of spectrum curve. The experimental results have been proved to be encouraging.