Aeroplane Detection using Spaceborne SAR Time-series Images based on low-rank Sparse Decomposition

Spaceborne synthetic aperture radar (SAR) has widely applied in the field of earth monitoring because of its advantages of high-resolution imaging and repeat pass observation. However, the previous SAR target detection algorithms are mainly aimed at stationary and moving targets on land and ocean scenes, and there are relatively few studies on aerial targets detection. Therefore, this paper proposes a detection method for stationary and moving aeroplane using time-series image data. Based on the low-rank sparse decomposition algorithm, this method uses time-series image data to detect stationary targets and severely defocused moving targets. By the above detection results, false alarm suppression and detection of stationary and moving aeroplane can be effectively achieved. The method is verified by Sentinel-1 time-series image data, and the results show that the proposed method is feasible.