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Autofocus is very important to the imaging of air-borne synthetic aperture radar (SAR). There have been many kinds of the autofocus technique, which could fall into two categories according to whether the phase error is approximated with a parametric model or not. On the condition that prominent points exist in the image, the non-parametric methods have superiority over the parametric ones in dealing...
This paper proposes a new approach to synthetic aperture radar (SAR) autofocus. The proposed metric-based autofocus algorithm is based on the Wiener deconvolution filter, which has the advantage of the phase error compensation as well as noise suppression. The sharpness metrics are used to measure the degree of the focus of the SAR image. To compare the performance of the metric-based SAR autofocus,...
A new autofocus method for synthetic aperture radar (SAR) application is proposed based on the instantaneous frequency estimation. The short-time Fourier transform (STFT) is utilized to estimate the instantaneous frequency. Then the PGA technique is applied with single iteration. The proposed method can perform well in lower signal-to-noise ratio (SNR) and it needs less computation cost than the conventional...
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