PNN pansharpenning method implemented in pytorch.
Pretrained model is provided
Based on implementation: https://github.com/xyc19970716/Deep-Learning-PanSharpening/tree/main
Paper link: https://www.mdpi.com/2072-4292/8/7/594
The GaoFen-2 and WorldView-3 dataset download links can be found in https://github.com/liangjiandeng/PanCollection
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Layer (type:depth-idx) Output Shape Param #
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├─Conv2d: 1-1 [-1, 64, 256, 256] 25,984
├─ReLU: 1-2 [-1, 64, 256, 256] --
├─Conv2d: 1-3 [-1, 32, 256, 256] 51,232
├─ReLU: 1-4 [-1, 32, 256, 256] --
├─Conv2d: 1-5 [-1, 4, 256, 256] 3,204
==========================================================================================
Total params: 80,420
Trainable params: 80,420
Non-trainable params: 0
Total mult-adds (G): 5.26
==========================================================================================
Input size (MB): 0.25
Forward/backward pass size (MB): 50.00
Params size (MB): 0.31
Estimated Total Size (MB): 50.56
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