In this paper, we propose a compression algorithm for hyperspectral images based oil the wavelet transform using adjacent information. A characteristic of the SPIHT algorithm is that it provides information oil the locations of significant coefficients of transformed images. On the other hand, there exist high correlation between spectral band images of hyperspectral data. Thus, by using the
... [Show full abstract] location information of significant pixels, it is possible to efficiently compress adjacent band images by allocating all available bits to encode the magnitudes of significant pixels. However, some significant pixels would be inevitably missed, resulting in noticeable errors. In this paper, we propose to encode these missed significant pixels to improve coding efficiency. Experiments suggest that taking care of missed significant pixels provides improved performance.
