Abstract
VideoSAR (Video Synthetic Aperture Radar) technology provides an important mean for real-time and continuous earth observation, whereas the ever-changing scattering characteristics may destroy the accuracy of target motion perception and bring in massive false alarms subsequently. False alarms emerge easily in the edge region for its sharper variations of the scattering characteristics. Utilizing the gradient difference between the target shadow edge and other edge regions in the image, this letter proposes a VideoSAR false alarm reduction method based on gradient-weighted edge information. By considering the reasonable gradient and area of the overlapping edge region between changing region and background, this method could reduce the amount of false alarms ( P f a = 18 . 4 % ) and retain the correct shadow of moving target ( P d = 74 . 8 % ). Experiments on a real footage verify the excellent effect of the proposed method.
Highlights
Video Synthetic Aperture Radar (VideoSAR) is a novel microwave detection technology proposed by researchers from Sandia National Laboratories, which combines SAR imaging and video techniques together
This section will give a fully introduction of the proposed false alarm reduction method via gradient-weighted edge information
The gradient-weighted edge information is introduced to remove the false alarm in the edge region to improve the accuracy of moving target detection
Summary
Video Synthetic Aperture Radar (VideoSAR) is a novel microwave detection technology proposed by researchers from Sandia National Laboratories, which combines SAR imaging and video techniques together. The variation of ground scattering characteristics, the changing of viewing angle and the impact of target direct energy return may cause some local gray-scale differences, which show up as edge regions in the image. Such phenomena could bring in massive false alarms and contaminate the pre-detection performance. Conventional methods are realized primarily based on the entire image They take little consideration on the spatial distribution regularities of false alarms and real targets, especially the edge information hidden in VideoSAR image sequence.
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