Abstract: A processor and method for discriminating against interference during target acquisition and reacquisition processing of densely cluttered images. The processor and method that adaptively estimates the feature probability density function of the interference from the image data. The estimated interference probability density function, along with target feature estimates are input to a Bayesian classifier that discriminates the interference from the target.

Abstract: A sensor system includes a sensor (20) having an array (22) of detector elements (24), a movable sensor positioner (32) in which the sensor (20) is mounted, a signal processor (30) that progressively corrects the intensities of the pixels of a sensor output array for detector element nonuniformity, an electronic scene position corrector (40), and a motion controller (36) that provides a movement command (34) to the sensor positioner (32), and transmits the substance of the movement command to the scene position corrector (40). An image array signal is furnished from the sensor (20) to the signal processor (30), while the sensor positioner (32) is controllably moved under command of the motion controller (36). A nonuniformity-compensated output signal (38) of the signal processor (30) is provided to the scene position corrector (40), wherein the position of the image is corrected for the motion of the sensor positioner (32).