COMPRESSION OF HYPERSPECTRAL IMAGERY USING THE 3-D DCT AND HYBRID DPCM/DCT

被引：105
作者：
ABOUSLEMAN, GP
MARCELLIN, MW
HUNT, BR
机构：
[1] Department of Electrical and Computer Engineering, University of Arizona, Tucson
来源：
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1995年 / 33卷 / 01期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/36.368225
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Two systems are presented for compression of hyperspectral imagery which utilize trellis coded quantization (TCQ), Specifically, the first system uses TCQ to encode transform coefficients resulting from the application of an 8 x 8 x 8 discrete cosine transform (DCT), The second systems uses DPCM to spectrally decorrelate the data, while a 2-D DCT coding scheme is used for spatial decorrelation, Side information and rate allocation strategies are discussed. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. These entropy constrained systems achieve compression ratios of greater than 70:1 with average PSNR's of the coded hyperspectral sequences exceeding 40.0 dB.
引用
收藏
页码：26 / 34
页数：9
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