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Optimized onboard lossless and near-lossless compression of hyperspectral data using CALIC

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3 Author(s)
Magli, E. ; Dipartemento di Elettronica, Politecnico di Torino, Italy ; Olmo, G. ; Quacchio, E.

We propose a new lossless and near-lossless compression algorithm for hyperspectral images based on context-based adaptive lossless image coding (CALIC). Specifically, we propose a novel multiband spectral predictor, along with optimized model parameters and optimization thresholds. The resulting algorithm is suitable for compression of data in band-interleaved-by-line format; its performance evaluation on Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data shows that it outperforms 3-D-CALIC as well as other state-of-the-art compression algorithms.

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Geoscience and Remote Sensing Letters, IEEE  (Volume:1 ,  Issue: 1 )