Veselov

The authors proposed and justified a new approach for predicting conditions of an aerospace survey in order to improve its effectiveness. This approach is based on the fact that information on optical characteristics of the atmosphere, the earth's surface brightness, spectral reflectance, as well as exposure parameters of shooting performed in the form of layers of the geographic information system, could be used for solving problems associated with planning an aerospace survey. The basic idea of this work lies in forming a high dynamic layer of the continuous phenomena of geo-information system; this high dynamics is caused by high dynamics of change in meteorological conditions.

This paper considers a mathematical model for estimating resolution measuring properties of an aerialphotosystem developed on the basis of photosensitive devices with charge transfer. The proposed mathematical model which implements an analytical method for estimating resolving power of aerial photosystems based on the theory of linear optoelectronic system allows to obtain assessments of resolving power for various types of aerial photosystems with consideration for their conditions of use.

A study of aerial photosystems that are based on the photosensitive charge-transfer devices was carried out in order to determine the linearity of their units. To estimate the linearity of photosensitive charge-transfer devices the authors used results of a specially developed technique of physical research, which is based on the construction of light characteristics and verification of the superposition principle. It was shown that a photosensitive charge-transfer device is a linear unit within a certain range of brightness. Width of this range was determined by the introduction of the notion - light latitude of a photosensitive charge-transfer device.

The authors analyzed characteristics of flight operation of unmanned aerial vehicles (UAV) in the whole phase space of expected operating conditions. They consider basic aspects of the providing trouble-free use of unmanned aerial vehicles which exclude their uncontrolled fall to the ground and the resulting unintended damage to human life, health and their property on the ground. Factors that affect safety of flight of unmanned aerial vehicles were analyzed. The authors identified the causes and consequences of an air crash and proposed methods of preventing it.

The article describes principles of selecting informative features for classification of optical images of complex surface facilities. The authors justify the selection of classes of objects using ellipsoidal estimation. They developed criteria for qualitative selection of the classifier attribute vector answering questions of resistance of classes to noise impact, of compact description of classes using ellipsoids of dispersion, of an essential dimension of the feature vector. The authors propose a science-based approach to selection of informative features of the signal classifier based on the concept of entropy of information theory and ellipsoidal estimation.

 A mathematical model of the digital infrared remote sensing system (IRS) of "watching" type was developed. It allows to estimate the value of IRS angular resolution depending on application conditions and its structural and technological features.

The paper describes the main types of threats to the mobile segment of the perspective military information infrastructure. The main principal approaches and technologies of mobile device security were analyzed.

This paper covers selection of resolution tools (test-objects) for visible digital optic-electronic systems. The measurement accuracy of physical quantity depends on the measuring tool type, in other words precision of measurements to the true value of the measured quantity. The given task is solved by a physical experiment method. The experiment was conducted in laboratory and flight conditions. The experiment results were statistically analyzed.

The methodology of selecting of classifiers’ features was described in this article; these classifiers were used in processing of diffraction image of complex spatial objects. The substantiation of the separation of the object class into subclasses in terms of information theory, as well as reasonable selection of object classes with the usage of ellipsoidal estimation were given. The criteria of qualitative selection of classifier’s feature vector, answering questions about the size of teaching selection, the cardinality of the set of classes, the essential dimension of feature vector, were developed. Evidence-based approach to the selection of informative features of classifier of signals, based on the concept of entropy of information theory and ellipsoidal estimation, were proposed.

 The authors consider a simplified linear model of aircraft pitch movement for real-time prediction to support control design. The model is derived out of the full nonlinear system of aircraft space movement. The model parameters estimates are achieved through the least square regression estimator using moving interval. Some examples of flight test data processing are also presented.

In work modern ways of an estimation of a technical condition of optiko-electronic systems (OES) receptions of the specific information (RSI) are considered. It is offered to take advantage for an estimation of technical condition OES RSI of the statistical theory of recognition of images. The estimation of reference signs for each degree of product availability is offered to be carried out with use of the collected statistical material by results of operation of controllable systems, and also with use of strong methods of the decision of problems - expert systems. The theory of an estimation of a system effectiveness of recognition of technical condition OES RSI is developed. It is shown, that on the basis of the received analytical expression of average probability of an error, there is a possibility to estimate quality of signs and solving rule for any quantity of hypotheses and signs

In the modern market relations, one of the most significant components of competitiveness of production is its quality. Various methods and tools are developed for quality assurance. It, first of all checks, control cards, diagrammes Pareto, the analysis of time numbers, korreljatsionno-regressionnyj the analysis etc. However all of them, first, have private character, secondly, do not allow to apply the same approach to an estimation of quality of various production and especially to high technology production. In article on the basis of the theory of neural networks the technique an estimation of quality of the sample of aviation technics at a stage of developmental works that will allow to eliminate lacks specified above methods is offered.

The dependence of estimation of resolution on the type of interpolation at scaling is obtained. The application effectiveness of the different algorithms of interpolation at scaling during interpretation of digital images of test bars is in details analyzed.