Infrared clutter rejection in detection of point targets

Infrared clutter rejection is especially crucial and very difficulty when the point targets have complicated background such as cloud, ocean waves irradiated by sunlight. In this letter, we introduce a new algorithm of point targets detection based on wavelet. The modulus maximum of adjacent positive-negative in fine scale has been proved to be correspondence to point-like targets. So the strong clutter can be highly suppressed in this way. Experiment results show the method has good performances.