空间目标白天光学探测中的散斑滤波方法OA

Ground-based optical telescopes play an important role in space domain awareness.To address the degradation of detection capability caused by sky background radiation and atmospheric turbulence,this paper proposed a speckle filtering method based on atmospheric turbulence characteristics.First,the method performed cumulative summation on sequentially stored multi-frame images to obtain a high signal-to-noise ratio(SNR)observation image through long integration time.Then,target speckles could be ex-tracted from the accumulated image,with an appropriate extraction threshold,combined with connected component detection and size-based filtering.Subsequently,a direction independence speckle filter with matching size was constructed based on the extracted speckle patterns from the accumulated image.Final-ly,the speckle filter was applied to the latest single-frame observation image for spatial-domain filtering,enabling effective target extraction.Experimental results show that for the observation of faint space tar-gets under strong atmospheric turbulence and sky background radiation,the proposed speckle filtering method can improve the detection capability of ground-based telescopes by more than 0.93 magnitudes.The speckle filtering method is characterized by simple computation,fast processing and strong robust-ness,enabling ground-based optical telescopes to achieve better performance in space object detection.