Ultra-wideband Synthetic Aperture Radar (UWB SAR) has the characteristics of wide aspect angle and wide frequency band, which can provide with aspect-frequency dependence about targets. In this paper, a new landmine-enhanced imaging method using sparse representation is proposed based on the analysis of aspect-frequency dependence. Firstly, subaperture and subband images sequence preserves the aspect-frequency dependence information. The Gabor atoms are selected to construct the dictionary for its convenient description of different structures in the image. The weighting value for each pixel is calculated by parameters extracted atoms. The electromagnetic simulation demonstrates the validation of the proposed method.
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