Abstract:Moving target shadows among video synthetic aperture radar (Video-SAR) images are always interfered by low scattering backgrounds and cluttered noises, causing poor moving target shadow detection-tracking performance. To solve this problem, this letter proposes a shadow-background-noise 3D spatial de-composition method named SBN-3D-SD to boost shadow saliency for better Video-SAR moving target shadow detection-tracking performance.