A background clutter suppression algorithm for space target detection in wide field-of-view opto-electronic observation

A background clutter suppression algorithm based on morphological reconstruction,which calculated the marker image based on information of target and background,is proposed for the suppressing of background clutter of wide field-of-view opto-electronic observation.The images of these targets varied in size(from several to dozens pixels in diameter),and the backgrounds undulated consecutively or strongly due to moonlight,clouds,etc.The marker image according to target information was calculated by a plurality of direction of linear structuring elements,which extracted high gray background better and reduced the huge amount of calculation.The mark image according to background information was independent of the target's imaging size,which avoided the problem of structuring element choices in the morphological background suppression algorithm.The proposed algorithm was tested and compared through real data obtained by a wide field-of-view opto-electronic observation system.The results show that the proposed algorithm has excellent background adaptability and achieves a higher signal-to-noise ratio,and the background suppression effect is more efficient than those done by other tested background suppression algorithms.