SAR moving object imaging using sparsity imposing priors

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چکیده

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SAR moving object imaging using sparsity imposing priors

Synthetic aperture radar (SAR) returns from a scene with motion can be viewed as data from a stationary scene, but with phase errors due to motion. Based on this perspective, we formulate the problem of SAR imaging of motion-containing scenes as one of joint imaging and phase error compensation. The proposed method is based on the minimization of a cost function which involves sparsity-imposing...

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ژورنال

عنوان ژورنال: EURASIP Journal on Advances in Signal Processing

سال: 2017

ISSN: 1687-6180

DOI: 10.1186/s13634-016-0442-z