Integral topographic characteristics in solving problems of remote sensing data processing

  • Samarina Olga V., samarina_ov@mail.ru Yugra State University, 16 Chekhov Street, Khanty-Mansiysk 628012, Russia
  • Slavsky Viktor V., slavsky2004@mail.ru Yugra State University, 16 Chekhov Street, Khanty-Mansiysk 628012, Russia
  • Semenov Sergey P., ssp@augrasu.ru Yugra State University, 16 Chekhov Street, Khanty-Mansiysk 628012, Russia
Keywords: invariant, integral topographic characteristics, digital images processing, remote sensing data processing

Abstract

Search for new mathematical approaches to the multichannel images analysis and processing (including Earth remote sensing data) is one of the topical problems in digital image processing. The relevance of it is determined by the need to optimize the existing methods of digital image processing, to improve the efficiency and quality of the results obtained from the digital signal analysis.

In this paper, we present an approach to Earth remote sensing data processing based on invariant integral-geometric characteristics of the digital image. The invariant characteristics play an important role in digital signal processing and are widely used in pattern recognition tasks, in pattern structural matching, in remote sensing tasks, and in geological research. The paper also describes a MatLab software module developed for image analyzing and calculating of the numerical integral-geometric characteristics.

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How to Cite
Samarina, O., Slavsky, V. and Semenov, S. (2020) “Integral topographic characteristics in solving problems of remote sensing data processing”, Mathematical notes of NEFU, 27(1), pp. 41-52. doi: https://doi.org/10.25587/SVFU.2020.16.44.003.
Section
Mathematics