Review on Evaluation of Quality of Compressed Hyperspectral Image
高光谱图像压缩质量评价技术研究进展

Applications for hyperspectral image data are still in their infancy as handling the significant size of the data presents a challenge for the user community. In some cases, especially in satellite data link, limited by the available bandwidth and the onboard storage capacity, lossy compression techniques have to be used. Hyperspectral imagery applications appear different sensitivities to various of degradations caused by different lossy compression methods. The evaluation of quality of compressed hyperspectral images comes in growing interest over the past few years.In the paper we first reviewed some major hyperspectral image compression methods. Second we summarized the existing evaluation approaches including objective distortion criteria, statistical applications algorithms results evaluation and extraction of distortion criteria with same sensitivity. The merits and drawbacks of the approaches were discussed as well.Then a new evaluation scheme based on optimal performance is proposed. In the end, the future trend of the evaluation technique was pointed out, in personal opinion.