The paper deals with general issues of organizing access to electronic documents in the framework of scientific and educational activities. Large volumes of already existing information, its continuous growth, the heterogeneous nature of storage and distribution, the lack of a unified way of working with it create many difficulties when using it. Awareness of these difficulties, qualitative changes in the field of information technology and telecommunications have led to the need to solve the problem of finding new approaches to the creation of repositories of information resources, their structure, and the development of tools necessary for users. Currently, such approaches are called “digital” or “electronic” libraries. According to the preliminary concept, an intelligent scientific and educational Internet resource will be an information system accessible via the Internet, providing systematization and integration of scientific knowledge, data, and information resources into a single information space, meaningful and effective access to them, as well as support for their use in solving various scientific and educational tasks. Another problem of the organization of effective information support for scientific and educational activities is that, due to its diversity and multidimensional nature, scientific and educational information resources are dispersed on remote pages of many sites and in distributed electronic libraries and archives. To solve this problem, it is necessary to solve the problem of bringing such resources related to one area of knowledge into a single information space, and also, no less important, to support their logical integrity. Without solving these two related tasks, it is impossible to solve the main task – to provide all participants of scientific and educational activities with meaningful access to integrated information resources and means of their analysis. The support of information systems in the field of scientific and educational activities is relevant, since the need for information always exists. In order to satisfy this need, it is necessary to organize access to various resources.

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The article presents an analysis of a non-standard approach to the segmentation of textural areas in aerospace images. The question of the applicability of sets of textural features for the analysis of experimental data is being investigated to identify characteristic areas on aerospace images that in the future it will be possible to identify types of crops, weeds, diseases, and pests. The selection of suitable algorithms was carried out and appropriate software tools were created on Matlab 2021a and in the software package for statistical analysis Statistica 12. The main way to extract information is to decrypt images, which are the main carrier of information about the underlying surface. The main tasks of texture area analysis include selection and formation of features describing textural differences; selection and segmentation of textural areas; classification of textural areas; identification of an object by texture. To solve the tasks, spectral brightness coefficient (SBC), Normalized Difference Vegetation Index (NDVI), textural features of various crops and weeds. Much attention will be paid to the development of software tools that allow the selection of features describing textural differences for the segmentation of textural areas into subdomains. That is the question of the applicability of sets of textural features and other parameters for the analysis of experimental data to identify types of soils and soils, vegetation types, humidity, crop damage in aerospace images will be resolved. This approach is universal and has great potential for identifying objects using image clustering. To identify the boundaries of areas with different properties of the image under study, images of the same surface area taken at different times are considered.

A new method of successive approximation ADC calibration without interruption of the main conversion process is proposed. The method is based on the use of information redundancy in the form of redundant positional number systems. The method is based on the selection and analysis of unused combinations in the redundant ADC conversion characteristic.

ISRA (India) = 1.344 ISI (Dubai, UAE) = 0.829 GIF (Australia) = 0.564 JIF = 1.500 SIS (USA) = 0.912 РИНЦ (Russia) = 0.207 ESJI (KZ) = 4.102 SJIF (Morocco) = 2.031 ICV (Poland) = 6.630 PIF (India) = 1.940 IBI (India) = 4