Lossless Hyperspectral-Image Compression Using Context-Based Conditional Average
Hongqiang Wang, S. Derin Babacan, Khalid Sayood · IEEE Transactions on Geoscience and Remote Sensing · 2007
In this paper, a new algorithm for lossless compression of hyperspectral images is proposed. The spectral redundancy in hyperspectral images is exploited using a context-match method driven by the correlation between adjacent bands. This method is suitable for hyperspectral images in the band-sequential format. Moreover, this method compares favorably with the recent proposed lossless compression algorithms in terms of compression, with a lower complexity.