CGFformer uses cluster-guidance frequency Transformer for advanced pansharpening

Researchers have developed CGFformer, a novel approach to pansharpening that aims to generate higher-resolution multispectral images by fusing lower-resolution multispectral and high-resolution panchromatic images. Unlike previous methods that use fixed frequency filters, CGFformer employs an adaptive separation module utilizing K-means clustering to better handle complex and diverse frequency distributions. The model also features a dual-stream refinement module with Transformer-based cross-attention for improved noise suppression and a frequency-spatial fusion module to enhance detail and spatial-frequency interaction. AI

影响 Introduces a new method for image fusion that could improve the quality of satellite imagery and remote sensing data.

排序理由 This is a research paper detailing a new method for image processing. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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• CGFformer
• K-means clustering
• Transformer

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