摘要
针对干涉超光谱成像仪所成图像的特点,提出了一种基于ROI(RegionofInterest,感兴趣区域)编码的干涉超光谱图像序列压缩方法.利用帧内差值变换,结合矩形ROI编码,在提高遥感图像压缩比的同时,使压缩后的重建图像质量达到近无损的技术要求.实验结果表明,这种压缩方法在干涉超光谱图像压缩中当相对光谱二次误差为2.04%时,干涉图像的压缩比达到9.66∶1.
A new compression method of interferogram hyperspectral images based on ROI （Region of Interest） coding is proposed,which is based on the analyses of the characteristics of hyperspectral imaging spectrometry. This method that uses the symmetry of the interfering stripes, processes the intra-frame compression and integrates the rectangle ROI coding improves compression ratio of remote sensing images and reaches the requirements of near-lossless compression. Experimental results showed that when relative spectral quadratic error was 2.04% the compression radio reached 9.66 ： 1.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2006年第9期1388-1391,共4页
Acta Photonica Sinica
关键词
图像压缩
干涉超光谱图像
ROI
成像光谱技术
Image compression
Interferogram hyperspectral images
ROI
Spatially modulated imaging interferometery
