Розробка методів обробки сигналів в оптико електронних системах з урахуванням часу реєстрації

Abstract

In modern detection systems, identifying objects in complex scenes is often hindered by noise and faint signal levels. This research proposes a signal accumulation method that integrates multiple frames to significantly improve the signal-to-noise ratio and highlight critical regions. By modeling the spatial temporal distribution of signals, our approach enhances detection accuracy while mitigating the impact of random noise. We employ pre-processing, frame-by frame integration, and threshold-based filtering to isolate relevant signal components. Experimental results demonstrate that this method reliably boosts signal clarity, making it a promising solution for a range of applications, from radar surveillance to advanced image processing.