Satellite-based identification of land objects using nonorthogonal representation of source data

The article discusses theory of satellite image representation on non-rectangular lattice and feasibility of this approach. The background of the expediency and essentiality of hexagonal and triangular lattices in satellite image processing is presented. The information capacities of images are examined, and the advantages/disadvantages of nonorthogonal representation of spatial information are demonstrated. A new approach is proposed to detection and coding of an object form in a black-and-white contrast image based on heuristics. It is possible to use the proposed approach together with the satellite data in open access. A case-study of the approach application to a specific satellite image is presented. The same image is used to describe formation of informative attributes for the further identification of objects and construction of the object form matrix. The hexagonal and triangular lattice representations allow software implementation and circuit designing in computer vision engineering for robotics. The recommendations on using the nonorthogonal data representation are given. This approach is also applicable to tracing boundaries of mine objects, for instance, in common mineral mining.

Keywords: mathematics of lattices, binary image, elementary vector, information capacity of attribute, computer vision, nonorthogonal description, satellite-based identification, heuristics.
For citation:

Kramarov S. O., Mityasova O.Yu., Khramov V. V. Satellite-based identification of land objects using nonorthogonal representation of source data. MIAB. Mining Inf. Anal. Bull. 2021;(4):154-166. [In Russ]. DOI: 10.25018/0236_1493_2021_4_0_154.

Acknowledgements:

The study was performed under state contract between the Khanty-Mansi Autonomous Area–Yugra and the Surgut State University

Issue number: 4
Year: 2021
Page number: 154-166
ISBN: 0236-1493
UDK: 332+528
DOI: 10.25018/0236_1493_2021_4_0_154
Article receipt date: 13.05.2020
Date of review receipt: 30.10.2020
Date of the editorial board′s decision on the article′s publishing: 10.03.2021
About authors:

S.O. Kramarov1, Dr. Sci. (Phys. Mathem.), Professor, Chief Researcher, e-mail: maoovo@yandex.ru,
O.Yu. Mityasova1, Member of the Temporary Research Team,
V.V. Khramov, Cand. Sci. (Eng.), Assistant Professor, Leading Researcher, e-mail: vxpamov@inbox.ru, Southern University (Institute of Management, Business and Law), Rostov-on-Don, 344068, Russia,
1 Surgut State University (SurSU), Scientific and Educational Center, 628412, Surgut, Khanty-Mansiysk Autonomous Okrug–Ugra, Russia.

 

For contacts:

S.O. Kramarov, e-mail: maoovo@yandex.ru.

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