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

Authors

  • Ruslan Kozhemiakin National Aerospace University, Kharkov, Ukraine
  • Oleksandr Zemliachenko National Aerospace University, Kharkov, Ukraine
  • Volodymyr Lukin National Aerospace University, Kharkov, Ukraine
  • Sergii Abramov National Aerospace University, Kharkov, Ukraine
  • Benoit Vozel University of Rennes 1, Lannion, France

DOI:

https://doi.org/10.36023/ujrs.2016.9.67

Keywords:

remote sensing, DCT-based coders, compression ratio prediction, hyperspectral data

Abstract

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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Published

2016-06-29

Issue

Section

Techniques for Earth observation data acquisition, processing and interpretation