RAFNet uses wavelet-based directional separation, K-means regional clustering, and clustered sparse attention to create adaptive kernels and efficient frequency aggregation, outperforming prior pansharpening networks on benchmark datasets.
Optimal mmse pan sharpening of very high resolution multispectral images
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RAFNet: Region-Aware Fusion Network for Pansharpening
RAFNet uses wavelet-based directional separation, K-means regional clustering, and clustered sparse attention to create adaptive kernels and efficient frequency aggregation, outperforming prior pansharpening networks on benchmark datasets.