Detecting dim point target in infrared image sequences using probalilistic neural network

In spite of many advances of IR imaging technology that have been achieved, the detection of dim point target from infrared clutter backgrounds still remains a key problem in real-time IR system. We present a new detection scheme based on a linear detector and an improved probabilistic neural network classifier for small SNR, moving point targets detection in strong infrared noise and clutter backgrounds. Computer simulation was conducted, and simulation results confirmed the validity of the detection scheme.<>