Addressing the limitations of traditional video denoising algorithms that only utilize spatial information from a single frame and ignore the temporal correlation between frames, as well as the existing multi-frame methods that require motion compensation, increasing computational overhead, and have a simple structure...
To address the resource scheduling problem of ground-based optical stations for key space target observation, this study proposes a station-structured genetic algorithm driven by dual-level tabu memory. The proposed method integrates station-grouped encoding, heuristic initialization, station-structured crossover, neig...
To address the unstable detection of weak orbital maneuvers from publicly available Two-Line Element (TLE) data affected by natural perturbations, orbit-determination errors, outliers, and irregular update intervals, an adaptive multi-feature maneuver-detection method is proposed. The method incorporates a dominant J2...
