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Pan-Sharpening Via RoG-Based Filtering

In this paper, a pan-sharpening approach based on RoG filtering is proposed. This approach follows the framework of classic methods of pan-sharpening, i.e., component substitution and multi-resolution analysis. The filtering technique based on Relativity-of-Gaussian (RoG) regularization is first used in the process of upsampling the original multi-spectral image, and then in the detail extraction phase to obtain spatial details from the panchromatic image. Experiments on datasets acquired by Quickbird and IKONOS demonstrate that the proposed approach obtains competitive performance comparing with several popular pan-sharpening methods.