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Quality criteria benchmark for hyperspectral imagery
2005
IEEE Transactions on Geoscience and Remote Sensing
Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community. Efficient compression techniques are required, and lossy compression, specifically, will have a role to play, provided its impact on remote sensing applications remains insignificant. To assess the data quality, suitable distortion measures relevant to
doi:10.1109/tgrs.2005.853931
fatcat:pxbcaaoh6zb2zfuplz6n2bomvm