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Bulletin of Abai KazNPU. Series of Physical and mathematical sciences
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Vol. 77 No. 1 (2022)

DATA CLUSTERING USING THE MAHALANOBIS METHOD FOR DECIPHERING OF SATELLITE IMAGES USING ENVI SOFTWARE

Published March 2022

182

112

А. Akhmadiya+−
S.Seifullin Kazakh Agrotechnical University, S.Seifullin Kazakh Agrotechnical University
S. S. Brimzhanova +−
NPLC«A. Baitursynov Kostanay Regional University», Kostanay Academy of the Ministry of Internal Affairs of the Republic of Kazakhstan named after Shrakbek Kabylbaev
https://orcid.org/0000-0002-2206-2566
Kh. Moldamurat +−
L. N. Gumilyov Eurasian National University
N. K. Nabiyev+−
S.Seifullin Kazakh Agrotechnical University
S.Seifullin Kazakh Agrotechnical University, S.Seifullin Kazakh Agrotechnical University
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А. Akhmadiya

PhD doctoral student, master's degree in radio engineering, electronics and telecommunications, senior lecturer of the Department of RET

NPLC«A. Baitursynov Kostanay Regional University», Kostanay Academy of the Ministry of Internal Affairs of the Republic of Kazakhstan named after Shrakbek Kabylbaev
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S. S. Brimzhanova

PhD doctoral student in Computer Science, Master of Science, Lecturer of the Department of Organization of Social Work in the Internal Affairs Department

L. N. Gumilyov Eurasian National University
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Kh. Moldamurat

Candidate of Technical Sciences, Lecturer of the CT&T Department

S.Seifullin Kazakh Agrotechnical University
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N. K. Nabiyev

Candidate of Technical Sciences, Senior Lecturer of the Department of RET

DOI: 10.51889/2022-1.1728-7901.10
Abstract

Recently there has been an explosive growth in microelectronics and chips, the Internet, and new information technologies. In turn, among the many sections of IT-technology, the most progressive, both in the field of theoretical development and applications, is artificial intelligence. Pattern recognition in artificial intelligence refers to a wide range of problems: recognition of images, symbols, texts, smells, sounds, noise, situations. In the software market there are systems based on the recognition of traits, equipped with databases and knowledge, with the ability to adapt and learn.  This paper deals with supervised classification with ENVI software to recognize 5 classes from Landsat-7 satellite image. The paper applied the Mahalanobis Method to divide into classes and determined the relative accuracy of recognition for each class.

pdf (Қазақ)
Keywords
Landsat-7 Mahalanobis supervised classification data clustering artificial intelligence
Language

Қазақ

How to Cite

[1]
Akhmadiya А. , Brimzhanova С.С. , Moldamurat Х. and Nabiyev Н. 2022. DATA CLUSTERING USING THE MAHALANOBIS METHOD FOR DECIPHERING OF SATELLITE IMAGES USING ENVI SOFTWARE. Bulletin of Abai KazNPU. Series of Physical and mathematical sciences. 77, 1 (Mar. 2022), 78–84. DOI:https://doi.org/10.51889/2022-1.1728-7901.10.