Journal of Radio Electronics. eISSN 1684-1719. 2025. №11
Full text in Russian (pdf)
DOI: https://doi.org/10.30898/1684-1719.2025.11.40
A study of the influence of the number
of levels quantization of remote sensing data
on the information content of the resulting images
A.V. Kokoshkin, E.P. Novichikhin
Kotelnikov Institute of Radioengineering and Electronics of RAS, Fryazino Branch,
141190, Russia, Fryazino, pl. Vvedenskogo, 1
The paper was received September 19, 2025.
Abstract. This study examined the impact of the number of data quantization levels on the information content of the resulting images. It was found that, all other things being equal, reconstructing distorted images is only possible by taking into account the characteristic features of objects of interest to the researcher. One critical parameter is the correlation radius of the analyzed image relative to the size of the objects being sought. The optimal choice of the number of sampling levels should be based on the specific tasks and conditions of remote sensing data application. It is important to find a balance between image quality and the resources available for their processing and analysis.
Key words: image processing, quality assessment metrics, quantization levels, image reconstruction methods.
Financing: The work was carried out within the framework of the state task of the Kotelnikov Institute of Radioengineering and Electronics (IRE) of Russian Academy of Sciences.
Corresponding author: Kokoshkin Alexander Vladimirovich, shvarts65@mail.ru
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For citation:
Kokoshkin A.V., Novichikhin E.P. A study of the influence of the number of levels quantization of remote sensing data on the information content of the resulting images // Journal of Radio Electronics. – 2025. – №. 11. https://doi.org/10.30898/1684-1719.2025.11.40 (In Russian)