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A novel two-dimensional (2-D) compressive sensing (CS) based method is presented for near-field radar imaging. First, an accurate near-field approximation is proposed, based on which the circular wavefront curvature of spherical waves can be compensated by mapping the images to a rectified new grid. More importantly, the near-field approximation makes the two dimensions of the scattered data separable...
Geometrical features are widely used in the SAR ship recognition. Two-dimensional (2D) features are sometimes ambiguous and the three-dimensional (3D) ones are hence preferred. Most of the existing researches are based on the 3D coordinate estimation of the scattering centers. These techniques may lose efficiency when working with ocean ships, due to their complicated motion on the waves and the scattering...
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