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The algorithm of inverse aperture synthesis using generalized inverse filtering with evolutionary control realized in spatial frequency domain is considered. Optimal values of regularization parameters of filtration with evolutionary control by numerical simulation have been obtained. The optimal values provide the maximization of sharpness of the edges of the reconstructed radio image in combination...
Recognition of objects situated behind a dielectric wall has been implemented for real experimental data using neural networks in the form of multilayer perceptron, GRNN, PNN and RBF and correlation techniques. The objects under recognition have been metal parallelepipeds and cylinders with variation of sizes. As the result of the study, it has been found the best settings for the recognition of objects...
Unlike traditional approaches to inverse aperture synthesis by means of Fourier or Fresnel transform in dependence if the object is in far-field or intermediate zone, the space inverse filtering application is proposed. The inverse filter characteristics are obtained by means of calibration by scanning standard objects in form of metal strips. This approach allows us to compensate not only phase distortions...
The description of measuring equipment for radioimages obtaining on base of multufrequency data is presented. The algorithm of radioimage objects recognition using neural network technology was developed. The neural network architecture getting effective radioimage objects recognition under various conditions was found and recognition efficiency measures were calculated.
The influence of curvature of a cylindrical panel containing a crack on the value of the J-integral in the process of axial loading is investigated. We study the entire range of curvatures of the panel, namely, from a plate to a closed cylindrical shell. The critical values of the J-integral are determined numerically according to the experimentally obtained values of critical loads corresponding...
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