基于变换域多尺度加权神经网络的全色锐化

马飞, 孙陆鹏, 杨飞霞, 徐光宪

Pansharpening based on the multiscale weighted neural network in the transform domain

MA Fei, SUN Lupeng, YANG Feixia, XU Guangxian

表3 Pléiades数据集上的融合结果质量评价指标

Tab.3 Quality evaluation index of fusion resul on Pléiades dataset

算法 性能指标 PSNR↑/dB CC ↑ UIQI ↑ ERGAS ↓ SAM ↓ RASE ↓ RMSE ↓ HPF 24.065 9 0.964 0 0.963 3 2.419 9 0.033 9 11.231 8 22.214 3 DGIF 24.727 8 0.964 8 0.964 1 2.240 0 0.054 4 10.991 5 21.739 1 GF 25.186 6 0.962 8 0.961 3 1.845 7 0.023 2 7.795 7 15.418 4 STEM 23.551 1 0.959 1 0.958 1 2.436 5 0.037 3 11.244 2 22.238 8 PNNet 27.351 8 0.980 2 0.978 9 2.015 4 0.045 8 9.964 9 19.708 7 本文算法 29.570 4 0.986 0 0.985 9 1.136 5 0.023 5 4.940 7 9.771 8