异构图像融合算法及其在电力设施检测中的应用研究

贾梦涵, 刘刚, 徐世杰, 吴双应

Heterogeneous Image Fusion Algorithm and Its Application in Power Facility Detection Research

Menghan JIA, Gang LIU, Shijie XU, Shuangying WU

表1 对比实验的客观评价

Tab. 1 Objective evaluation of comparative experiments

方法 EN VIF MSE SCD MSSSIM FMIpixel CBF 6.856 0 0.445 8 0.061 1 1.517 4 0.587 6 0.835 8 FusionGAN 6.674 2 0.641 7 0.062 5 1.707 0 0.787 8 0.887 3 GANMcC 6.859 2 0.759 9 0.056 6 1.864 1 0.899 1 0.898 8 RFN-Nest 6.992 1 0.792 8 0.062 3 1.943 0 0.921 9 0.905 6 FPDE 6.237 0 0.650 4 0.045 1 1.735 9 0.888 7 0.893 0 LatLRR 6.895 0 0.891 3 0.082 4 1.758 1 0.849 1 0.907 7 U2Fusion 7.009 1 0.683 1 0.055 4 1.923 6 0.935 5 0.896 6 IFEVIP 6.895 0 0.905 0 0.082 4 1.758 1 0.849 1 0.907 7 Deepfuse 6.157 4 0.880 2 0.045 0 1.737 4 0.884 0 0.906 6 Densefuse 6.874 2 0.880 2 0.060 0 1.960 1 0.950 7 0.906 7 本文算法 7.026 2 0.883 7 0.056 5 1.960 7 0.939 3 0.907 9