This paper proposes scheme called LIDA-ATR (Learning Intelligent Distribution Agent-Automatic Target Recognition). The main idea of this scheme is LIDA integration with object detection feature for the development of automatic target recognition (ATR) system. By using human inspired cognitive systems of LIDA, LIDA-ATR offers autonomous and intelligent solutions that differ with another ATR approaches. Simulation result performed by using sample data represents equilateral and non-equilateral two dimensional objects. Simulation result shows that the proposed scheme has 91.67 % success ratio to detect sample data that placed less than 45 cm from the sensor.
Available online: https://www.ieeexplore.ieee.org/document/6914414