小波matlab代码-WMCNN-Pytorch:WMCNN[通过小波多尺度卷积神经网络的航空图像超分辨率]的Pytorch再现

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小波matlab代码WMCNN-Pytorch WMCNN的Pytorch复制[通过小波多尺度卷积神经网络的航空图像超分辨率]如果使用此代码,请引用本文。 下表对RSSCN7数据集上的PSNR值进行了比较。 方法 提升因子 草 场地 行业 河湖 森林 居民 停车处 平均数 WMCNN_paper 2个 38.82 37.30 28.35 32.41 29.68 28.49 29.10 32.02 WMCNN_pytorch 2个 38.98 37.38 28.28 32.31 29.71 28.33 30.00 32.14 用法 产生资料 首先,您需要下载RSSCN7数据集,并将其放在目录“ data / rsscn7”中。 然后,您可以使用以下两种方法来生成hdf5数据集。 (*注:也可以使用其他数据集。) Matlab的 使用文件夹“ matlab_generate_data”中提供的代码“ generate_train.m”来生成hdf5数据集。 Python 如果无法使用matlab,则可以使用python代码“ data_generator.py”生成hdf5数据集。 训练

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