Intelligent structuring of the earth remote sensing methods for detecting and identification of radioactive sources of ionizing radiations

The article presents a system structuring of the Earth remote sensing methods for detection and identification radioactive sources of ionizing radiation (ERS SIR), on the basis of the existing physical phenomena. The structuring is formed according to consolidation of all existing and advanced ERS SIR methods with its attributes in two-dimensional sequence of structural-logical relations, where principle physical properties of ionizing disturbances in environment, and different methods of their detection are determined. A two-dimensional schema is presented in the snowflake structure can be easily formalized to build multidimensional databases (multi-dimensional "cube") for Data Mining. Subsequently, such formalization can be implemented into the artificial intelligence systems, which can help the researchers and developers of new ERS SIR multi-channel systems to take into account opportunities and features of existing methods in an integrated manner and add there new advanced methods. © 2020, Univelt Inc. All rights reserved.