Image super-resolution (SR) techniques can benefit a wide range of applications in the remote sensing (RS) community, including image classification. This issue is particularly relevant for classification on time series data, considering RS datasets that feature long temporal coverage generally have limited spatial resolution. Recent advances deep learning brought new opportunities enhancing re...

Measuring small separations between two optical sources, either in space or time, constitutes an important metrological challenge as standard intensity-only measurements fail for vanishing separations. Contrarily, it has been established that appropriate coherent mode projections can appraise arbitrarily with quantum-limited precision. However, the question of whether coherence brings any advan...