Aliased Small Target (AST) Dataset

To validate the proposed intelligent deformed small target recognition algorithm in aliased images, we construct the DM-ST Dataset (Detector Multiplexing Small Target Dataset). The dataset comprises 18 motion trajectories of small infrared targets, covering both full-field and local field-of-view regions in forward and reverse directions. Images are acquired via detector multiplexing, producing aliasing effects, and are modulated by field-of-view shape coding to reflect geometric distortions induced by cylindrical mirror modulation and off-axis aberrations. Gaussian and salt-and-pepper noise are added in the simulation to emulate realistic detector readout and space environment interference. Each trajectory contains 600 frames at 60 fps, enabling joint trajectory\u2013shape feature analysis and small target recognition performance evaluation. The DM-ST Dataset provides a high-fidelity benchmark for both simulation and experimental validation of the proposed algorithm.