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A new lossless compression scheme for large aperture static imaging spectrometer

机译:大孔径静态成像光谱仪的新无损压缩方案

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In this paper, a novel method for the lossless compression of the interferometer hyperspectral instrument Large Aperture Static Imaging Spectrometer (LASIS) data is presented. This scheme rests upon the combination of data rearrangement and band ordering of LASIS three dimensional image and the recently presented CCSDS-123 lossless multispectral & Hyperspectral image compression standard. Firstly, the LASIS data is rearranged from the photo acquisition coordinate to the optical path difference (OPD) image coordinate by the rearrange approach to remove the interference information superimposed on the image. Then the OPD band is reordered according to the interferogram characteristic to improve the correlation between adjacent bands. Finally, the reordered OPD band data is processed using the CCSDS-123 standard. Several experiments were conducted to investigate the performance of the proposed compression scheme in the end. Experimental results suggest that this proposed compression scheme gives 31% higher compression ratio than using the standard alone.
机译:本文提出了一种新的干涉仪高光谱仪器大口径静态成像光谱仪(LASIS)数据无损压缩的方法。该方案基于LASIS三维图像的数据重排和波段排序以及最近提出的CCSDS-123无损多光谱和高光谱图像压缩标准的结合。首先,通过重排方法将LASIS数据从照片获取坐标重排到光程差(OPD)图像坐标,以去除叠加在图像上的干扰信息。然后根据干涉图特性对OPD频段进行重新排序,以改善相邻频段之间的相关性。最后,使用CCSDS-123标准处理重新排序的OPD频段数据。最后进行了一些实验来研究所提出的压缩方案的性能。实验结果表明,该压缩方案比单独使用标准压缩方案高31%。

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