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Open access Oct 2026

Edge-Aware Remote Sensing Image Super-Resolution via Kolmogorov–Arnold Networks

Remote sensing image super-resolution aims to reconstruct high-quality spatial details from low-resolution observations, which is essential for land-cover interpretation, object detection, and downstream geospatial analysis. However, existing convolutional neural network (CNN)- and Transformer-based methods may struggl...

Shuai Liu, J. Fonseca, André Mora · 0 citations

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