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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results