高光谱图像分布式有损压缩研究进展

Research progress on distributed lossy compression of hyperspectral images

星载高光谱图像的有效压缩已经成为航天高光谱遥感领域研究的热点。分布式信源编码(DSC)技术具有较低的编码复杂度、良好的抗误码性以及可并行实现等优点,已被成功应用于高光谱图像的压缩。针对基于分布式信源编码的高光谱图像有损压缩技术进行了研究。首先简要介绍了分布式信源编码的基本理论与实现方式;然后从二元纠错码与多元陪集码两方面综述了高光谱图像分布式有损压缩的研究现状;最后指出了该领域需要进一步研究的问题。

The efficient compression of onboard hyperspectral images has been the focus in the field of space hyperspectral remote sensing. Distributed source coding （DSC） technique has been applied to hyperspectral images compression successfully due to the advantages of low encoder complexity, favorable error resilient and parallel implementation. Lossy compression technique of hyperspectral images based on distributed source coding was studied. Both the basic theory and manner of DSC were introduced briefly, and the research status of distributed lossy compression of hyperspectral images based on both binary error-correcting codes and multilevel coset codes were summarized respectively. Finally, the problems requiring further research in this field were also indicated.