UAlbany's Mustafa Aksoy is leading the development of machine-learning algorithms that can detect and remove radio frequency interference that impairs the accuracy of U.S. satellite measurements.

Radio frequency interference (RFI) remains a critical challenge in synthetic aperture radiometry, where precise reconstruction of brightness temperature maps is essential for environmental, ...

Associate Professor of Physics Jonathan Pober has spent the past 20 years detecting faint astronomical signals in radio waves that can provide information about the early universe. This task can be ...

Abstract: Accurate weather forecasts are crucial to ensure that the nation is responsive and prepared for weather and climate disasters. Passive microwave radiometer measurements of temperature, ...