Double-Layer Fuzzy Fusion for Multiview Through-Wall Radar Images

In this letter, a double-layer fuzzy fusion method is proposed to produce a higher quality image by combing multiple through-wall radar images of the same scene. The first layer is termed as intraimage fusion, in which the global and local degrees of membership are fused within each input image based on intraimage fuzzy rules. Then, in the second layer, interimage fusion is performed between input images using interimage fuzzy rules, and the output image is obtained. Compared with other fusion methods, the proposed method decreases the possibility of losing a weak target and suppresses the clutter by taking into account the local information while enhancing the target intensity values. The method also introduces a K-means clustering technique to automatically select the parameters of the membership functions. The performance of the proposed method is evaluated using both simulated and real experimental data.