Article

Article title FUNCTIONAL MODEL OF IMAGERY COMPLEX
Authors N.I. Selvesyuk, Ju.G. Veselov, A.S. Ostrovskiy
Section SECTION IV. VISION SYSTEMS AND ONBOARD COMPUTERS
Month, Year 01, 2015 @en
Index UDC 582.87
DOI
Abstract Paper refers to the technical construction of imagery systems and complexes for solving typical problems of detection and recognition of objects in Earth remote sensing. The proposed model is based on the use of mathematical models of electro-optical systems, as well as Zhivichin-Sokolov formulas and multiplication of probabilities. It allows to estimate the probability of recognition of objects in digital imagery electro-optical systems images in the visible and infrared wavelengths of electromagnetic radiation. Using the model involves a number of actions in the following sequence. At the first stage the analysis of the parameters and characteristics of the electro-optical system (or systems operating in the complex when assessing the possibility of imagery complex) and the conditions of its (their) application is held. Further, using special mathematical models of electro-optical systems an assessment of the linear ground resolution of aerial photographs, obtained by applying the mean. The final step is to assess the imagery means impact of use indicator (s). Is proposed to use the probability of recognition of objects in an image (in the case of the complex - the probability of recognition of objects in images of each system, as a part of the complex) as an impact of use indicator. However, the proposed model allows not only to predict the possibilities of imagery means, but also to estimate the optimal parameters and characteristics of complex systems and application by the criterion of maximum probability of recognition of objects in complex systems images.

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Keywords Assessment of the possibilities; imagery means; electro-optical systems and complexes; Zhivichin-Sokolov formula; the probability of recognition an object in an image; systems integration; mathematical models of electro-optical systems.
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