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Telecommunications and Radio Engineering
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ISSN Print: 0040-2508
ISSN Online: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v75.i14.30
pages 1255-1269

AN APPROACH TO PREDICTION AND PROVIDING OF COMPRESSION RATIO FOR DCT-BASED CODER APPLIED TO MULTICHANNEL REMOTE SENSING DATA

R.A. Kozhemiakin
Dept 504, National Aerospace University, 17 Chkalova Str., 61070, Kharkiv, Ukraine
V. V. Lukin
National Aerospace University (Kharkiv Aviation Institute), 17 Chkalov St., Kharkiv, 61070, Ukraine
S. K. Abramov
Department of Transmitters, Receivers and Signal Processing, National Aerospace University (Kharkiv Aviation Institute), 17 Chkalov St., Kharkiv, 61070, Ukraine
M. Simeunovic
University of Montenegro, Podgorica, Montenegro
B. Djurovic
University of Montenegro, Podgorica, Montenegro
I. Djurovic
University of Montenegro, Cetinsky put bb, 81000, Podgorica, Montenegro

ABSTRACT

We propose and study an approach to compression ratio prediction and providing with application to multichannel remote sensing images. DCT-based compression techniques, both 2D applied component-wise and 3D applied to sub-band groups, are considered. It is shown that compression ratio can be predicted for component-wise processing of multichannel images using a simple modification of approach proposed recently for coding single-component images, either noise-free or corrupted by different types of noise where an input parameter used in prediction is percentage of zeros in AC DCT-coefficients after quantization. It is also demonstrated that compression ratio can be predicted for 3D coders applied to multichannel image as a whole or as a set of groups of channels. Such a prediction, under certain conditions, allows also providing a desired compression ratio within a procedure that does not require multiple compression. The approaches are tested for Landsat multichannel remote sensing data.


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