Compression of hyperspectral imagery using the 3-D DCT and hybrid DPCM/DCT

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

Research output: Contribution to journalArticle

131 Citations (Scopus)

Abstract

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 × 8 × 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 code-books 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
Volume33
Issue number1
DOIs
StatePublished - Jan 1995

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differential pulse code modulation
discrete cosine transform
Discrete cosine transforms
imagery
Entropy
transform
compression
entropy
compression ratio
coding
coefficients

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Geochemistry and Petrology
  • Geophysics
  • Electrical and Electronic Engineering

Cite this

Compression of hyperspectral imagery using the 3-D DCT and hybrid DPCM/DCT. / Abousleman, Glen P.; Marcellin, Michael W; Hunt, Bobby R.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 33, No. 1, 01.1995, p. 26-34.

Research output: Contribution to journalArticle

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