Compression of Hyperspectral Imagery Using the 3–D DCT and Hybrid DPCM/DCT

Glen P. Abousleman, Michael W. Marcellin, IBobby R. Hunt

Research output: Contribution to journalArticlepeer-review

147 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)26-34
Number of pages9
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number1
StatePublished - Jan 1995

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences


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