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Multiscale Window Attention Channel Enhanced For Remote Sensing Image Super-Resolution by a1478917320 is a document available to read on EtoBox.
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The document presents a novel multiscale window attention channel-enhanced mechanism for improving remote sensing image super-resolution (SR) using Transformer-based methods. This approach effectively addresses the challenges of reconstructing high-frequency textures in the presence of large flat regions by utilizing depthwise separable convolution kernels and a mix attention group for better feature extraction. Experimental results demonstrate significant improvements in peak signal-to-noise ratio (PSNR) a
- Author
- a1478917320
- Language
- EN