An Enhanced V-BM3D Algorithm for VideoSAR Denoising Combined with Temporal Information
Zihan Li, Zhen Dong, Anxi Yu, Zhihua He, Tianzhu Yi · 2019
Moving target in video Synthetic Aperture Radar (videoSAR) can be detected via shadow. Thus the inherent speckle noise and thermal noise in videoSAR may bring in a great mass of false alarms. V-BM3D (Video Block-Matching 3D) algorithm has proved its excellent effect in optical video denoising. Though its denoising performance may drop dramatically in high noisy environment. In this work, we introduce V-BM3D to suppress various kinds of noise in videoSAR and evaluate its denoising effect. Temporal information hidden in SAR video is exploited to enhance the denoising effect. Experiments on a real videoSAR footage show that the enhanced V-BM3D algorithm can effectively suppress the noise in videoSAR and bring in dramatic improvements in videoSAR moving target detection.