SAR Image Recognition via Local Gradient Ratio Pattern

Synthetic Aperture Radar recognition is a non-trivial problem. New features of SAR image are proposed. Based on the gradient ratio pattern for each pixel, the Local Gradient Ratio Pattern Histogram is then computed. Next, multi-scale LGRPH is constructed for dimensionality reduction. Finally, the similarity is obtained by utilizing K-L discrepancy to measure the distance of MLGRPH. The proposed method is theoretically proved to be insensitive to speckle noise, and the adaptability to local gradient variation is also discussed. Experimental results show that the proposed approach performs well.