Video synthetic aperture radar (ViSAR) can produce sequential images at a high frame rate, which provides a persistent surveillance over a region of interest. However, due to position changes of different apertures, m...
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Video synthetic aperture radar (ViSAR) can produce sequential images at a high frame rate, which provides a persistent surveillance over a region of interest. However, due to position changes of different apertures, most of existing imaging algorithms fail since the orientation and resolution of each frame image will change accordingly. In this article, based on the high centre frequency characteristic of ViSAR, an interpolation-freealgorithm for persistent multi-frame imaging is proposed. The proposed algorithm can be implemented by only two-dimensional fast Fourier transforms without any image post-processing, thus both the efficiency and quality of imaging are obtained at the same time. Simulation and real data results have verified the effectiveness of the proposed algorithm.
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