CGFformer uses cluster-guided adaptive frequency separation and Transformer-based cross-attention to jointly suppress noise and enhance spatial-frequency interactions, yielding improved pansharpening on benchmark datasets.
Deng, et al., Machine Learning in Pansharpening: A benchmark, from shal- low to deep networks, IEEE Geosci
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CGFformer: Cluster-Guidance Frequency Transformer for Pansharpening
CGFformer uses cluster-guided adaptive frequency separation and Transformer-based cross-attention to jointly suppress noise and enhance spatial-frequency interactions, yielding improved pansharpening on benchmark datasets.