论文信息 - Automatic co-registration of multi-temporal Landsat-8/OLI and sentinel-2A/MSI images

Automatic co-registration of multi-temporal Landsat-8/OLI and sentinel-2A/MSI images

This study aims at addressing misregistration issues between Landsat-8/OLI and Sentinel-2A/MSI at 30 m resolution using a phase correlation approach and multiple transformation functions. Phase correlation proved to be a robust approach that allowed us to identify hundreds and thousands of control points on images acquired more than 100 days apart. Overall, misregistration of up to 1.6 pixels at 30 m resolution between Landsat-8 and Sentinel-2A images were observed. The Random Forest regression used for constructing the mapping function showed best results, yielding an average RMSE error of 0.07 pixels at 30 m resolution for multiple tiles and multiple conditions.

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