RESEARCH ON MOVING TARGET DETECTION METHOD BASED ON SHADOW INFORMATION OF TERAHERTZ VIDEO SAR IMAGES

Video Synthetic Aperture Radar (SAR) has the advantage of high-resolution real-time imaging, and can continuously obtain high-quality image sequences of specific areas. At the same time, after the moving target in the video SAR image is defocused, a shadow area will still appear at the real position, laying the foundation for the image domain detection of moving targets. This paper first makes a relatively detailed analysis of the rationality and principle of video SAR shadow detection. On this basis, in order to solve the problem of more noise spots in the image sequence caused by the serious coherent speckle noise of terahertz video SAR and the problem of dark overall background caused by more low backscattering areas, a moving target detection method suitable for terahertz video SAR image shadow information is proposed, and the effectiveness of the algorithm in complex background is verified by measured terahertz video SAR image data.