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The complex dual-tree discrete wavelet transform is explored for the coding of hyperspectral imagery using a coder that has previously demonstrated efficient video-coding performance. A noise-shaping process increases the sparsity of the redundant transform-coefficient set, resulting in a high degree of regional coherency within the coefficient subbands. This coherency, as well as correlation across subbands, is exploited by a coding algorithm that performs set-partitioning using k-d trees.doi:10.1109/igarss.2007.4422977 dblp:conf/igarss/BoettcherDF07 fatcat:lurflradwjatpmtjsbfcq5netm