卫星遥感干涉多光谱图像压缩新算法

为了有效提高干涉多光谱图像压缩效率,以满足星上应用环境要求,提出了一种新的遥感干涉多光谱图像压缩算法.采用小波域匹配预处理来去除干涉光谱图像序列的帧间相关性,采用基于率失真斜率提升的感兴趣区域编码方法,对图像不同区域进行更合理的码率分配,反馈控制T1编码器的编码深度,调整编码子带个数,从而减少编码计算量和存储器使用量,便于硬件实现.实验结果表明,该算法能有效提高恢复光谱的分辨率,简化系统复杂度.

New compression algorithm for the satellite interferential multispectral images

In order to improve the efficiency of interferential multispectral images compression for meeting applications in satellite,a new compression algorithm is proposed.The redundancy between the two successive frames of multispectral images is removed with the use of template matching method in the wavelet domain.The region of interest coding method based on rate-distortion slope lifting is adopted to allocate reasonable rate for different image region,which feedback controls the code depth of T1 coder.Thereby the amount of computation and memory usage is reduced,which make it suitable for hardware implementation.The experimental results show that the proposed algorithm can effectively improve the resolution of the reconstruction spectrum and decrease system complexity.