THE FORMATION OF THE COMPONENTS OF THE FUZZY KNOWLEDGE BASE FOR DIGITAL PLAN-SCHEMES OF THE RESULTS OF SATELLITE MONITORING OF AGRICULTURAL LANDS
Journal Title: Современные информационные технологии и ИТ-образование - Year 2018, Vol 14, Issue 2
Abstract
The methods of forming the components of fuzzy knowledge base in the form of basic digital plan-scheme of territories determined by the morphology of satellite images, natural data and the results of subjective assessments are considered. Variants of implementation of the algorithm of identification of the increased reliability taking into account fuzziness of initial data are investigated. During the development of the model of modern monitoring of territories in the interests of economic and social development of the population, it became obvious that the characteristics of the information with which this model should operate, does not correspond to those objects that describe the "deterministic" mathematics, that is, having certainty, accuracy, completeness, isolation, consistency, etc. Man-machine systems (namely, these should include the system of space monitoring) and components of the apparatus of representation of knowledge in them, in reality, reflect those properties of the human model of the world that do not fit into the deterministic mathematics and are characterized by the presence of "non-factors" - incompleteness, lack of accuracy, nonclosure, possibility of contradictions, etc. In this paper we propose a developed and successfully applied in practice by the authors’ method of accounting for non-factors in the identification of objects of the Earth's surface. Within the framework of this method, the following sequence of actions is performed: a vector three-dimensional model of the reference object is obtained by geometric construction, then, changing its position in space (rotation, reflection, scaling), a number of the above parameters are obtained, which are stored and used in the future for recognition to recreate the corresponding angle of the reference object. The paper considers the importance of non-factors in the process of identification of objects of the earth's surface during monitoring using satellite data, their condition, the variant to overcome the negative impact of different types of fuzzy initial monitoring data and improve the reliability of its results on the principles of quorum reservation is proposed.
Authors and Affiliations
Sergey Kramarov, Tatyana Lindenbaun, Vladimir Khramov
Keywords
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- EP ID EP522167
- DOI 10.25559/SITITO.14.201802.480-486
- Views 87
- Downloads 0
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