Topological Prior-Embedded Spatial–Temporal Tensor Approximation Model for Infrared Small-Target Detection (opens in new tab)

Infrared small-target detection (TD) is crucial in both military and civilian applications, yet it remains challenging to distinguish true targets from complex backgrounds and target-like flickering noise. To address this issue, a novel topological prior-embedded spatial–temporal tensor approximation (TP-STTA) model is proposed. The framework first designs a multitopological feature extraction (MTFE) model, in which area, diagonal, and volume attributes are explored, which effectively charact...