Пошук об’єктів на невеликій глибині за допомогою еволюційних методів

Abstract

The work is aimed at developing a GPR data processing system for detecting objects at shallow depths using evolutionary algorithms for optimizing parabolic model parameters. Preprocessing methods are proposed to eliminate static and ground reflection, as well as a web application for interactive visualization of results. Experimental data confirm the ability of the approach to accurately localize objects and separate them from noise, which opens up new prospects for the application of modern optimization methods in GPR studies. Additionally, the integrated framework establishes a solid foundation for future enhancements and practical deployments in various geophysical and engineering applications