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Sparse representation (SR)-based SAR imaging approaches have shown their superior performance compared with conventional approaches. However, for an image with rich spatial structures, a fixed global dictionary is usually ineffective to characterize the local structures. Piecewise autoregressive (PAR) model indicates that each pixel can be linearly represented by its local neighboring pixels. Inspired...
In conventional CS-based SAR imaging scheme, the two-dimensional (2-D) scene is vectorized into a long vector, and the physical observation mechanism is represented by a high dimensional matrix. When the scene size increases, the dimensionality of the observation matrix, the computation complexity and the reconstruction time grow tremendously. To solve this problem, a novel separable compressive SAR...
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