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BEMD-based two-dimensional SAR autofocus algorithm
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DOI：10.1080/10106049.2015.1034193.png)
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Abstract
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The two-dimensional (2D) autofocus algorithm simultaneously compensates both the residual range migration and propagation-induced phase errors. However, the unsuitable selection of prominent points would reduce the performance of autofocus. Bi-dimensional empirical mode decomposition (BEMD) can decompose a synthetic aperture radar (SAR) image into some different sub-images corresponding to different frequency components. Using proposed 2D autofocus algorithm along with BEMD would help us in selecting the suitable prominent points and give a considerable improvement in the performance of SAR autofocus. In further support of that conclusion, some simulations using real SAR data are demonstrated.
Keywords:
bi-dimensional empirical mode decomposition (BEMD)
two-dimensional (2D) autofocus
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