THE APPLICABILITY OF INFORMATIVE TEXTURAL FEATURES FOR THE DETECTION OF FACTORS NEGATIVELY INFLUENCING THE GROWTH OF WHEAT ON AERIAL IMAGES
Yessenova M. Abdikerimova G. Baitemirova N. Mukhamedrakhimova G. Mukhamedrakhimov K. Sattybaeva Z. Salgozha I. Yerzhanova A.
2022Technology Center
Eastern-European Journal of Enterprise Technologies
2022#4Issue 2-11851 - 58 pp.
Automated processing of aerospace information makes it possible to effectively solve scientific and applied problems in cartography, ecology, oceanology, exploration and development of minerals, agriculture and forestry, and many other areas. At the same time, the main way to extract information is to decipher images, which are the main carrier of information about the area. Aerospace images are a combination of natural texture regions and man-made objects. This article discusses methods for analyzing texture images. The main tasks of the analysis of texture areas include the selection and formation of features that describe texture differences, the selection and segmentation of texture areas, the classification of texture areas, and the identification of an object by texture. Depending on the features of the texture areas of the images used, segmentation methods based on area analysis can be divided into statistical, structural, fractal, spectral, and combined methods. The article discusses textural features for the analysis of texture images, and defines informative textural features to identify negative factors for crop growth. To solve the tasks, textural features are used. Much attention is paid to the development of software tools that allow to highlight the features that describe the differences in textures for the segmentation of texture areas. This approach is universal and has great potential on the studied aerospace image to identify objects and boundaries of regions with different properties using clustering based on images of the same surface area taken in different vegetation periods. That is, the question of the applicability of sets of texture features and other parameters for the analysis of experimental data is being investigated
Agricultural crops , Image processing , Space images , Textural features
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Department of Information Systems, L. N. Gumilyov Eurasian National University, Satpayev str.,2, Nur-Sultan, 010008, Kazakhstan
Department of Software Engineering, Kh. Dosmukhamedov Atyrau University, Studenchesky ave.,1, Atyrau, 600006, Kazakhstan
Department of Radio Engineering, Electronics and Telecommunications, L. N. Gumilyov Eurasian National University, Satpayev str.,2, Nur-Sultan, 010008, Kazakhstan
Department of Radio Engineering, Electronics and Telecommunications, S. Seifullin Kazakh Agro Technical University, Zhenis ave.,62, Nur-Sultan, 010000, Kazakhstan
Department of Agriculture of Bioresources, Sh. Ualikhanov Kokshetau State University, Abay str.,76, Kokshetau,Astana, 020000, Kazakhstan
Department of Informatics and Informatization of Education, Abai Kazakh National Pedagogical University, Dostyk ave.,13, Almaty, 050010, Kazakhstan
Department Technological Machines and Equipment, S. Seifullin Kazakh Agro Technical University, Zhenis ave.,62, Nur-Sultan, 010000, Kazakhstan
Department of Information Systems
Department of Software Engineering
Department of Radio Engineering
Department of Radio Engineering
Department of Agriculture of Bioresources
Department of Informatics and Informatization of Education
Department Technological Machines and Equipment
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