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...