Synthetic Aperture Radar Image Recognition

Synthetic radar image recognition and classification are areas of interest for both the military and civilian communities. These tasks have significance in automatic target recognition, air traffic control, and remote sensing. Equivalent problems of recognition and classification are also of interest for the ultrasonic and sonar imaging communities, for which numerous algorithms such as neural networks, wavelets, fuzzy logic, mean-square error-matching templates, and feature base classifications have been used.