The presence of shadows in urban aerial images can degrade the quality of the images and cause problems in image interpretation. In this paper, a novel shadow removal method based on the clustering correction of illumination field is proposed. We construct a spatially adaptive weighted total variation model to achieve the optimized illumination field. The land surface types are considered to correct the distribution of the illumination field based on the clustering moment matching method. Then the shadows are recovered in the illumination field with the texture well preserved and the shadow boundary smoothed. Experiments and comparisons are presented to verify the effectiveness of the proposed method.
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