Investigation of infrared staring imaging seeker with high resolution and large visual field

The existent uniform infrared imaging seeker can't solve the contradiction between high resolution, large visual field and real time processing. To solve this problem, a space-variant imaging system was put forward. By using Log-Polar model, the visual field could be divided into high resolution region and low resolution region. So the contradiction between large visual field and little computation cost was solved and the invariant of rotation and scaling was achieved. Furthermore, a fast twin-projection matching method was proposed to increase the speed of matching. Then the simulation and analysis were made to dispose a rotated and scaled image. This analysis indicates that the new matching method can make computation cost reduced significantly as the accuracy is un-injured. The computation cost of new method is only 2/n of that for original method, as an image with size of n × n is processed.