An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images

  • R. Kozhemiakin National Aerospace University, Kharkov, Ukraine
  • A. Zemliachenko National Aerospace University, Kharkov, Ukraine
  • V. Lukin National Aerospace University, Kharkov, Ukraine
  • S. Abramov National Aerospace University, Kharkov, Ukraine
  • B. Vozel University of Rennes 1, Lannion, France
Keywords: remote sensing, DCT-based coders, compression ratio prediction, hyperspectral data


A novel compression ratio prediction and providing technique applicable to noisy and almost noise-free remote sensing images is proposed. It allows predicting and then providing a desired compression ratio for DCT-based coder in automatically manner. The proposed technique is algorithmically simple and has low computational complexity that allows using it onboard spaceborne or airborne carriers. The study is carried out for test and real-life Hyperion images. It is shown that the proposed technique has high accuracy and it is robust with respect to noise intensity and type. Relative error of prediction of providing compression ratio does not exceed 10%.


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