Robust detection of horizontal small targets using synergistic spatial filtering

A robust noise reduction and background estimation method is presented to detect small targets around the horizon for infrared search and track. Directional background estimation and removal after a double window filter is very synergistic in terms of detection rate and false alarms. Experimental results validate the robustness of the proposed method.