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, ...

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, ...