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- W4237532359 abstract "Scientific and technological demands in spatial and spectral resolutions have drastically increased the data volume of hyperspectral images. For this reason, since the management, storage, and transmission of hyperspectral images can be extremely difficult, the compression of hyperspectral data is becoming more and more important. In the past decades, lossy compression approaches have been widely used for image compression because of the insensitiveness of the human visual system to some levels of distortion. In this way, an appropriate choice of loss of information can be used to significantly enhance the compression performance. However, in many cases, the distortion introduced during the compression process can get amplified by the processing and have a negative effect on the application. In general, there is not a preference of an approach over the other, but the choice of the type of compression mainly depends on the target application. Lossless compression is generally used for data archiving and in those applications where the data preservation is fundamental. On the other hand, as long as the radiometric resolution of the image increases, lossy compression approaches are preferred to lossless ones. Lossy compressions are then used to reduce data dimension for storage and for data transmission purposes." @default.
- W4237532359 created "2022-05-12" @default.
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- W4237532359 date "2019-01-01" @default.
- W4237532359 modified "2023-09-30" @default.
- W4237532359 title "Hyperspectral compression" @default.
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- W4237532359 doi "https://doi.org/10.1016/b978-0-444-63977-6.00004-3" @default.
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