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Nonetheless, as video clip SAR has to reconstruct numerous frames, the data tend to be of enormous amount and also the imaging process is of huge computational price, which restricts its programs. In this essay, we make use of the redundancy residential property of multiframe movie SAR information, that can easily be modeled as low-rank tensor, and formulate the movie SAR imaging process as a low-rank tensor recovery problem, which is fixed by an efficient alternating minimizatio
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