Standardization for improved Spatio-Temporal Image Fusion

• URL: http://arxiv.org/abs/2510.15589v1
• Date: Fri, 17 Oct 2025 12:35:35 GMT
• Title: Standardization for improved Spatio-Temporal Image Fusion
• Authors: Harkaitz Goyena, Peter M. Atkinson, Unai Pérez-Goya, M. Dolores Ugarte,
• Abstract summary: We propose and compare two different standardization approaches to facilitate the application of STIF methods.<n>The first method is based on traditional upscaling of the fine-resolution images.<n>The second method is a sharpening approach that blends the overall features found in the fine-resolution image series with the distinctive attributes of a specific coarse-resolution image.
• Score: 2.0075645451278747
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Spatio-Temporal Image Fusion (STIF) methods usually require sets of images with matching spatial and spectral resolutions captured by different sensors. To facilitate the application of STIF methods, we propose and compare two different standardization approaches. The first method is based on traditional upscaling of the fine-resolution images. The second method is a sharpening approach called Anomaly Based Satellite Image Standardization (ABSIS) that blends the overall features found in the fine-resolution image series with the distinctive attributes of a specific coarse-resolution image to produce images that more closely resemble the outcome of aggregating the fine-resolution images. Both methods produce a significant increase in accuracy of the Unpaired Spatio Temporal Fusion of Image Patches (USTFIP) STIF method, with the sharpening approach increasing the spectral and spatial accuracies of the fused images by up to 49.46\% and 78.40\%, respectively.

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