Pre‐training of gated convolution neural network for remote sensing image super‐resolution
Abstract Many very deep neural networks are proposed to obtain accurate super‐resolution reconstruction of remote sensing images. However, the deeper the network for image SR is, the more difficult it is to train. The low‐resolution inputs and features contain abundant low‐frequency information and...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-04-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12096 |